LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
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LaSO-Text is an extension of LaSOT, featuring a subset of 15 categories with 150 videos.
“LaSO-Text [23] is an extension of LaSOT, featuring a subset of 15 categories with 150 videos.”
From SAM2LONG: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree (2025) · cites this paper as [23]
Section 3.2 (Data Collection) says that LaSOT has a part comprising 150 sequences from 15 object classes. Our copy does not identify that part as LaSO-Text or describe LaSO-Text as an extension of LaSOT, so it supports the figures but not their attribution to the named extension. (LLM, conf=0.82)
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155 · see citing works
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 74,248 · see citing works
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333 · see citing works
Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460 · see citing works
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380 · see citing works
The pascal visual object classes (VOC) challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599 · see citing works
The Cityscapes Dataset for Semantic Urban Scene Understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.350 · Cited by 12,433 · see citing works
Unsupervised Domain Adaptation by BackpropagationPreprint
Ganin, Y., & Lempitsky, V. (2014) · International Conference on Machine Learning · doi:10.48550/arxiv.1409.7495 · Cited by 7,311 · see citing works
High-Speed Tracking with Kernelized Correlation Filters
Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2345390 · Cited by 5,753 · see citing works
Yılmaz, A., Javed, O., & Shah, M. A. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,807 · see citing works
Fully-Convolutional Siamese Networks for Object Tracking
Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-48881-3_56 · Cited by 4,546 · see citing works
Online Object Tracking: A Benchmark
Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138 · see citing works
Visual object tracking using adaptive correlation filters
Bolme, D., Beveridge, J. R., Draper, B. A., & Lui, Y. M. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539960 · Cited by 3,406 · see citing works
Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2388226 · Cited by 3,371 · see citing works
Kalal, Z., Mikolajczyk, K., & Matas, J. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.239 · Cited by 3,357 · see citing works
Scene Parsing through ADE20K Dataset
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.544 · Cited by 3,326 · see citing works
Incremental Learning for Robust Visual Tracking
Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061 · see citing works
High Performance Visual Tracking with Siamese Region Proposal Network
Li, B., Yan, J., Wu, W., Zhu, Z., & Hu, X. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00935 · Cited by 3,023 · see citing works
Learning Multi-domain Convolutional Neural Networks for Visual Tracking
Nam, H., & Han, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.465 · Cited by 2,806 · see citing works
ECO: Efficient Convolution Operators for Tracking
Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.733 · Cited by 2,805 · see citing works
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
Li, B., Wu, W., Wang, Q., Zhang, F., Xing, J., & Yan, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00441 · Cited by 2,607 · see citing works
Exploiting the Circulant Structure of Tracking-by-Detection with Kernels
Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33765-9_50 · Cited by 2,310 · see citing works
Learning Spatially Regularized Correlation Filters for Visual Tracking
Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.490 · Cited by 2,171 · see citing works
Accurate Scale Estimation for Robust Visual Tracking
Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2014) · British Machine Vision Conference (BMVC) · doi:10.5244/c.28.65 · Cited by 2,145 · see citing works
A Benchmark and Simulator for UAV Tracking
Mueller, M., Smith, N., & Ghanem, B. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46448-0_27 · Cited by 1,944 · see citing works
Visual tracking with online Multiple Instance Learning
Babenko, B., Yang, M., & Belongie, S. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206737 · Cited by 1,860 · see citing works
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Danelljan, M., Robinson, A., Shahbaz Khan, F., & Felsberg, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46454-1_29 · Cited by 1,853 · see citing works
Struck: Structured output tracking with kernels
Hare, S., Saffari, A., & Torr, P. H. S. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126251 · Cited by 1,831 · see citing works
Staple: Complementary Learners for Real-Time Tracking
Bertinetto, L., Valmadre, J., Golodetz, S., Mikšík, O., & Torr, P. H. S. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.156 · Cited by 1,825 · see citing works
Hierarchical Convolutional Features for Visual Tracking
Ma, C., Huang, J., Yang, X., & Yang, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.352 · Cited by 1,811 · see citing works
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Huang, L., Zhao, X., & Huang, K. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2957464 · Cited by 1,809 · see citing works
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Fan, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Bai, H., Xu, Y., Liao, C., & Ling, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00552 · Cited by 1,742 · cited 2× · see citing works
“In particular, different from classes chosen based on ImageNet in [24], the 15 new classes are intentionally and carefully selected outside of ImageNet.”
BackgroundSelf-citationATOM: Accurate Tracking by Overlap Maximization
Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00479 · Cited by 1,591 · see citing works
Distractor-Aware Siamese Networks for Visual Object Tracking
Zhu, Z. D., Wang, Q., Li, B., Wu, W., Yan, J., & Hu, W. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01240-3_7 · Cited by 1,575 · see citing works
Fast Online Object Tracking and Segmentation: A Unifying Approach
Wang, Q., Zhang, L., Bertinetto, L., Hu, W., & Torr, P. H. S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00142 · Cited by 1,554 · see citing works
Adaptive Color Attributes for Real-Time Visual Tracking
Danelljan, M., Khan, F. S., Felsberg, M., & van de Weijer, J. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.143 · Cited by 1,541 · see citing works
Visual Tracking: An Experimental Survey
Smeulders, A. W. M., Chu, D. M., Cucchiara, R., Calderara, S., Dehghan, A., & Shah, M. A. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.230 · Cited by 1,527 · see citing works
Learning Discriminative Model Prediction for Tracking
Bhat, G., Danelljan, M., Van Gool, L., & Timofte, R. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00628 · Cited by 1,515 · see citing works
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration
Li, Y., & Zhu, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16181-5_18 · Cited by 1,461 · see citing works
Real-Time Compressive Tracking
Zhang, K., Lei Zhang, A., & Yang, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_62 · Cited by 1,442 · see citing works
Discriminative Scale Space Tracking
Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2609928 · Cited by 1,315 · see citing works
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Gupta, A., Dollar, P., & Girshick, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00550 · Cited by 1,274 · see citing works
Learning Background-Aware Correlation Filters for Visual Tracking
Galoogahi, H. K., Fagg, A., & Lucey, S. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.129 · Cited by 1,270 · see citing works
Siamese Instance Search for Tracking
Tao, R., Gavves, E., & Smeulders, A. W. M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.158 · Cited by 1,208 · see citing works
Visual tracking via adaptive structural local sparse appearance model
Jia, X., Lu, H., & Yang, M. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247880 · Cited by 1,200 · see citing works
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Müller, M., Bibi, A., Giancola, S., Alsubaihi, S., & Ghanem, B. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01246-5_19 · Cited by 1,192 · see citing works
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Zhang, Z., & Peng, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00472 · Cited by 1,160 · see citing works
Discriminative Correlation Filter with Channel and Spatial Reliability
Lukezic, A., Vojir, T., Zajc, L. C., Matas, J., & Kristan, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.515 · Cited by 1,153 · see citing works
MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization
Zhang, J., Ma, S., & Sclaroff, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_13 · Cited by 1,150 · see citing works
Visual Tracking with Fully Convolutional Networks
Wang, L., Ouyang, W., Wang, X., & Lu, H. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.357 · Cited by 1,001 · see citing works
Long-term correlation tracking
Ma, C., Yang, X., Zhang, C., & Yang, M. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7299177 · Cited by 980 · see citing works
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Li, F., Tian, C., Zuo, W., Zhang, L., & Yang, M.-H. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00515 · Cited by 935 · see citing works
Learning Dynamic Siamese Network for Visual Object Tracking
Guo, Q., Feng, W., Zhou, C., Huang, R., Wan, L., & Wang, S. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.196 · Cited by 904 · see citing works
Real time robust L1 tracker using accelerated proximal gradient approach
Bao, C., Wu, Y., Ling, H., & Ji, H. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247881 · Cited by 839 · see citing works
Self-citationLearning a Deep Compact Image Representation for Visual Tracking
Wang, N., & Yeung, D. (2013) · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · Cited by 836 · see citing works
Encoding Color Information for Visual Tracking: Algorithms and Benchmark
Liang, P., Blasch, E., & Ling, H. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2482905 · Cited by 726 · see citing works
Self-citationA Twofold Siamese Network for Real-Time Object Tracking
He, A., Luo, C., Tian, X., & Zeng, W. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00508 · Cited by 708 · see citing works
A survey of appearance models in visual object tracking
Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Hengel, A. V. D. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2508037.2508039 · Cited by 705 · see citing works
Fast Visual Tracking via Dense Spatio-temporal Context Learning
Zhang, K., Lei Zhang, A., Liu, Q., Zhang, D. D., & Yang, M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10602-1_9 · Cited by 681 · see citing works
Context-Aware Correlation Filter Tracking
Mueller, M. F., Smith, N., & Ghanem, B. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.152 · Cited by 662 · see citing works
A Novel Performance Evaluation Methodology for Single-Target Trackers
Kristan, M., Matas, J., Leonardis, A., Vojir, T., Pflugfelder, R. P., Fernandez, G., Nebehay, G., Porikli, F., & Zajc, L. Č. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2516982 · Cited by 613 · see citing works
VITAL: VIsual Tracking via Adversarial Learning
Song, Y., Ma, C., Wu, X., Gong, L., Bao, L., Zuo, W., Shen, C., Lau, R. W. H., & Yang, M. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00937 · Cited by 595 · see citing works
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Real, E., Shlens, J., Mazzocchi, S., Pan, X., & Vanhoucke, V. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.789 · Cited by 580 · see citing works
Person Search with Natural Language Description
Li, S., Xiao, T., Li, H., Zhou, B., Yue, D., & Wang, X. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.551 · Cited by 571 · see citing works
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Galoogahi, H. K., Fagg, A., Huang, C., Ramanan, D., & Lucey, S. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.128 · Cited by 542 · see citing works
Natural Language Object Retrieval
Hu, R., Xu, H., Rohrbach, M., Feng, J., Saenko, K., & Darrell, T. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.493 · Cited by 534 · see citing works
Deep visual tracking: Review and experimental comparison
Li, P., Wang, D., Wang, L., & Lu, H. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.11.007 · Cited by 517 · see citing works
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
Fan, H., & Ling, H. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00814 · Cited by 477 · see citing works
Self-citationVisual Tracking via Adaptive Spatially-Regularized Correlation Filters
Dai, K., Wang, D., Lu, H., Sun, C., & Li, J. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00480 · Cited by 448 · see citing works
Wang, N., Song, Y., Ma, C., Zhou, W., Liu, W., & Li, H. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00140 · Cited by 443 · see citing works
Real-time part-based visual tracking via adaptive correlation filters
Liu, T., Wang, G., & Yang, Q. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7299124 · Cited by 402 · see citing works
GradNet: Gradient-Guided Network for Visual Object Tracking
Li, P., Chen, B., Ouyang, W., Wang, D., Yang, X., & Lu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00626 · Cited by 348 · see citing works
Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
Fan, H., & Ling, H. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.585 · Cited by 330 · see citing works
Self-citationThe Visual Object Tracking VOT2017 Challenge Results
Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Zajc, L. Č., Vojír, T., Häger, G., Lukežič, A., Eldesokey, A., et al. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw.2017.230 · Cited by 319 · see citing works
Self-citationHigh-Performance Long-Term Tracking With Meta-Updater
Dai, K., Zhang, Y., Wang, D., Li, J., Lu, H., & Yang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00633 · Cited by 310 · see citing works
GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking
Huang, L., Zhao, X., & Huang, K. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6758 · Cited by 279 · see citing works
Structured Siamese Network for Real-Time Visual Tracking
Zhang, Y., Wang, L., Qi, J., Wang, D., Feng, M., & Lu, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01240-3_22 · Cited by 272 · see citing works
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
Wang, G., Luo, C., Xiong, Z., & Zeng, W. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00376 · Cited by 269 · see citing works
SANet: Structure-Aware Network for Visual Tracking
Fan, H., & Ling, H. (2017) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.275 · Cited by 263 · see citing works
Self-citationContext-Aware Deep Feature Compression for High-Speed Visual Tracking
Choi, J., Chang, H. J., Fischer, T., Yun, S., Lee, K., Jeong, J., Demiris, Y., & Choi, J. Y. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00057 · Cited by 238 · see citing works
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
Xu, T., Feng, Z., Wu, X., & Kittler, J. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00804 · Cited by 232 · see citing works
‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking
Yan, B., Zhao, H., Wang, D., Lu, H., & Yang, X. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00247 · Cited by 218 · see citing works
Visual Tracking Using Attention-Modulated Disintegration and Integration
Choi, J., Chang, H. J., Jeong, J., Demiris, Y., & Choi, J. Y. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.468 · Cited by 191 · see citing works
Tracking by Natural Language Specification
Li, Z., Ran, T., Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.777 · Cited by 184 · see citing works
NUS-PRO: A New Visual Tracking Challenge
Li, A., Lin, M., Wu, Y., Yang, M., & Yan, S. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2417577 · Cited by 174 · see citing works
TAO: A Large-Scale Benchmark for Tracking Any Object
Dave, A., Khurana, T., Tokmakov, P., Schmid, C., & Ramanan, D. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58558-7_26 · Cited by 166 · see citing works
Long-Term Tracking in the Wild: A Benchmark
Valmadre, J., Bertinetto, L., Henriques, J. F., Ran, T., Vedaldi, A., Smeulders, A. W. M., Torr, P. H. S., & Gavves, E. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01219-9_41 · Cited by 157 · see citing works
Real-time Visual Object Tracking with Natural Language Description
Feng, Q., Ablavsky, V., Bai, Q., Li, G., & Sclaroff, S. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093425 · Cited by 83 · see citing works
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Lukežič, A., Kart, U., Käpylä, J., Durmush, A., Kämäräinen, J., Matas, J., & Kristan, M. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.01011 · Cited by 77 · see citing works
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Fan, H., Yang, F., Chu, P., Lin, Y., Yuan, L., & Ling, H. (2021) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv48630.2021.00101 · Cited by 14 · see citing works
Self-citationTracKlinic: Diagnosis of Challenge Factors in Visual TrackingPreprint
Fan, H., Yang, F., Chu, P., Yuan, L., & Ling, H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.07959 · Cited by 6 · see citing works
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- [76]Valmadre, J., Bertinetto, L., Henriques, J., Vedaldi, A., Torr, P.H.: End-to-end representation learning for corre- lation filter based tracking. In: CVPR (2017)
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Sorted by citations
Chen, X., Yan, B., Zhu, J., Wang, D., Yang, X., & Lu, H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00803 · Cited by 1,588 · see citing works
Learning Spatio-Temporal Transformer for Visual Tracking
Yan, B., Peng, H., Fu, J., Wang, D., & Lu, H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01028 · Cited by 1,280 · see citing works
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Ye, B., Chang, H., Ma, B., Shan, S., & Chen, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20047-2_20 · Cited by 930 · see citing works
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
Chen, X., Peng, H., Wang, D., Lu, H., & Han, H. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01400 · Cited by 501 · see citing works
Transforming Model Prediction for Tracking
Mayer, C., Danelljan, M., Bhat, G., Paul, M., Paudel, D. P., Yu, F., & Gool, L. V. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00853 · Cited by 460 · see citing works
Learning Target Candidate Association to Keep Track of What Not to Track
Mayer, C., Danelljan, M., Paudel, D. P., & Gool, L. V. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01319 · Cited by 392 · see citing works
AiATrack: Attention in Attention for Transformer Visual Tracking
Gao, S., Zhou, C., Ma, C., Wang, X., & Yuan, J. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20047-2_9 · Cited by 396 · see citing works
Autoregressive Visual Tracking
Wei, X., Bai, Y., Zheng, Y., Shi, D., & Gong, Y. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00935 · Cited by 378 · see citing works
SwinTrack: A Simple and Strong Baseline for Transformer TrackingPreprint
Lin, L., Fan, H., Zhang, Z., Xu, Y., & Ling, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2112.00995 · Cited by 311 · see citing works
Self-citationDropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
Wu, Q., Yang, T., Liu, Z., Wu, B., Shan, Y., & Chan, A. B. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01399 · Cited by 191 · see citing works
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
Xie, J., Zhong, B., Mo, Z., Zhang, S., Shi, L., Song, S., & Ji, R. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01826 · Cited by 186 · see citing works
Robust Object Modeling for Visual Tracking
Cai, Y., Liu, J., Tang, J., & Wu, G. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00879 · Cited by 155 · see citing works
Self-citationUniversal Instance Perception as Object Discovery and Retrieval
Yan, B., Jiang, Y., Wu, J., Wang, D., Luo, P., Yuan, Z., & Lu, H. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01471 · Cited by 152 · see citing works
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Kang, B., Chen, X., Wang, D., Peng, H., & Lu, H. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00881 · Cited by 137 · see citing works
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Ye, J., Fu, C., Zheng, G., Paudel, D. P., & Chen, G. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00869 · Cited by 132 · see citing works
HIPTrack: Visual Tracking with Historical Prompts
Cai, W., Liu, Q., & Wang, Y. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01822 · Cited by 130 · see citing works
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
Bai, Y., Zhao, Z., Gong, Y., & Wei, X. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01802 · Cited by 118 · see citing works
Separable Self and Mixed Attention Transformers for Efficient Object Tracking
Gopal, G. Y., & Amer, M. A. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00657 · Cited by 100 · see citing works
Toward Unified Token Learning for Vision-Language Tracking
Zheng, Y., Zhong, B., Liang, Q., Li, G., Ji, R., & Li, X. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3301933 · Cited by 96 · see citing works
Learning Spatial-Frequency Transformer for Visual Object Tracking
Tang, C., Wang, X., Bai, Y., Wu, Z., Zhang, J., & Huang, Y. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3249468 · Cited by 90 · see citing works
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Lu, J., Clark, C., Lee, S.-H., Zhang, Z., Khosla, S., Marten, R., Hoiem, D., & Kembhavi, A. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.02497 · Cited by 98 · see citing works
Transformer Tracking via Frequency Fusion
Hu, X., Zhong, B., Liang, Q., Zhang, S., Li, N., Li, X., & Ji, R. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3289624 · Cited by 81 · see citing works
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Lin, L., Fan, H., Zhang, Z., Wang, Y., Xu, Y., & Ling, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73232-4_17 · Cited by 77 · see citing works
Self-citationAVLTrack: Dynamic Sparse Learning for Aerial Vision-Language Tracking
Xue, Y., Zhong, B., Jin, G., Shen, T., Tan, L., Li, N., & Zheng, Y. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3549953 · Cited by 68 · see citing works
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking
Yang, D., He, J., Ma, Y., Yu, Q., & Zhang, T. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00928 · Cited by 58 · see citing works
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Ma, Y., Tang, Y., Yang, W., Zhang, T., Zhang, J., & Kang, M. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28205 · Cited by 63 · see citing works
Wutke, M., Heinrich, F., Das, P. P., Lange, A., Gentz, M., Traulsen, I., Warns, F. K., Schmitt, A. O., & Gültaş, M. (2021) · Sensors · doi:10.3390/s21227512 · Cited by 56 · see citing works
Spreading Fine-Grained Prior Knowledge for Accurate Tracking
Nie, J., Wu, H., He, Z., Gao, M., & Dong, Z. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3162599 · Cited by 53 · see citing works
A Distractor-Aware Memory for Visual Object Tracking with SAM2
Videnović, J., Lukežič, A., & Kristan, M. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02259 · Cited by 49 · see citing works
GMOT-40: A Benchmark for Generic Multiple Object Tracking
Bai, H., Cheng, W., Chu, P., Liu, J., Zhang, K., & Ling, H. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00665 · Cited by 46 · see citing works
Self-citationVisual Object Tracking in First Person Vision
Dunnhofer, M., Furnari, A., Farinella, G. M., & Micheloni, C. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01694-6 · Cited by 47 · see citing works
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
Zhang, C., Xin, S., Yang, Y., Liu, L., Liu, Q., Zhou, X., & Wang, Y. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3611803 · Cited by 47 · see citing works
Transparent Object Tracking Benchmark
Fan, H., Miththanthaya, H. A., Harshit, H., Rajan, S. R., Liu, X., Zou, Z., Lin, Y., & Ling, H. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01056 · Cited by 35 · see citing works
Self-citationA Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos
Song, W., Jiao, L., Liu, F., Liu, X., Li, L., Yang, S., Hou, B., & Zhang, W. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3184755 · Cited by 35 · see citing works
Switch and Refine: A Long-Term Tracking and Segmentation Framework
Xu, X., Zhao, J., Wu, J., & Shen, F. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3210245 · Cited by 33 · see citing works
Beyond SOT: Tracking Multiple Generic Objects at Once
Mayer, C., Danelljan, M., Yang, M., Ferrari, V., Gool, L. V., & Kuznetsova, A. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00668 · Cited by 30 · see citing works
Part-Aware Framework for Robust Object Tracking
Li, S., Zhao, S., Cheng, B. H., & Chen, J. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3232941 · Cited by 29 · see citing works
Robust visual tracking with extreme point graph-guided annotation: Approach and experiment
Gao, P., Zhang, X., Yang, X., Gao, F., Fujita, H., & Wang, F. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122013 · Cited by 29 · see citing works
Correlation-Embedded Transformer Tracking: A Single-Branch Framework
Xie, F., Yang, W., Wang, C., Chu, L., Cao, Y., Ma, C., & Zeng, W. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3448254 · Cited by 31 · see citing works
UTB180: A High-Quality Benchmark for Underwater Tracking
Alawode, B., Guo, Y., Ummar, M., Werghi, N., Dias, J. M. M., Mian, A. S., & Javed, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26348-4_26 · Cited by 28 · see citing works
Global Instance Tracking: Locating Target More Like Humans
Hu, S., Zhao, X., Huang, L., & Huang, K. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3153312 · Cited by 27 · see citing works
RTracker: Recoverable Tracking via PN Tree Structured Memory
Huang, Y., Li, X., Zhou, Z., Wang, Y., He, Z., & Yang, M. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01801 · Cited by 26 · see citing works
Sakthivel, S. S. K., Moorthy, S., Arthanari, S., Jeong, J. H., & Joo, Y. H. (2024) · Mathematics · doi:10.3390/math12142279 · Cited by 25 · see citing works
Unifying Motion and Appearance Cues for Visual Tracking via Shared Queries
Xue, C., Zhong, B., Liang, Q., Xia, H., & Song, S. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3486347 · Cited by 24 · see citing works
A Universal Event-Based Plug-In Module for Visual Object Tracking in Degraded Conditions
Zhang, J., Dong, B., Fu, Y., Wang, Y., Wei, X., Yin, B., & Yang, X. S. (2023) · International Journal of Computer Vision · doi:10.1007/s11263-023-01959-8 · Cited by 22 · see citing works
Towards Universal Modal Tracking With Online Dense Temporal Token Learning
Zheng, Y., Zhong, B., Liang, Q., Zhang, S., Li, G., Li, X., & Ji, R. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3593543 · Cited by 21 · see citing works
In defense and revival of Bayesian filtering for thermal infrared object tracking
Gao, P., Li, S., Gao, F., Wang, F., Yuan, R.-Y., & Fujita, H. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111665 · Cited by 21 · see citing works
Siamese-DETR for Generic Multi-Object Tracking
Liu, Q., Li, Y., Jiang, Y., & Fu, Y. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3416880 · Cited by 21 · see citing works
SAM2LONG: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Ding, S., Qian, R., Dong, X., Zhang, P., Zang, Y., Cao, Y., Guo, Y., Lin, D., & Wang, J. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.01264 · Cited by 19 · see citing works
“To further evaluate the effectiveness of SAM2Long, we also apply it to three widely used single-object tracking benchmarks, namely LaSOT [22], LaSOText [23], and GOT-10k [30].”
Modeling of Multiple Spatial-Temporal Relations for Robust Visual Object Tracking
Wang, S., Wang, Z., Sun, Q., Cheng, G., & Ning, J. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3453028 · Cited by 19 · see citing works
Exploring Dynamic Transformer for Efficient Object Tracking
Zhu, J., Chen, X. Y., Diao, H., Li, S., He, J.-Y., Li, C., Luo, B., Wang, D., & Lu, H. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3545752 · Cited by 22 · see citing works
Dynamic Updates for Language Adaptation in Visual-Language Tracking
Li, X., Zhong, B., Liang, Q., Mo, Z., Nong, J., & Song, S. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.01785 · Cited by 19 · see citing works
Joint spatio-temporal modeling for visual tracking
Sun, Y., Tang, C., Luo, H., Li, Q., Peng, X., Zhang, J., Li, M., & Wei, Y. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.111206 · Cited by 18 · see citing works
Peekaboo: Interactive Video Generation via Masked-Diffusion
Jain, Y., Nasery, A., Vineet, V., & Behl, H. S. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00772 · Cited by 21 · see citing works
DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
Li, X., Feng, X., Hu, S., Wu, M., Zhang, D., Zhang, J., & Huang, K. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00724 · Cited by 17 · see citing works
Target–background interaction modeling transformer for object tracking
Zhang, H., Fu, W., Qi, R., Zhong, B., Wang, X., & Wang, Y. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113230 · Cited by 16 · see citing works
Bidirectional Interaction of CNN and Transformer Feature for Visual Tracking
Sun, B., Wang, Z., Wang, S., Cheng, Y., & Ning, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3376690 · Cited by 16 · see citing works
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Zhao, J. W., Edstedt, J., Felsberg, M., Wang, D., & Lu, H. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00634 · Cited by 17 · see citing works
Divert More Attention to Vision-Language Object Tracking
Guo, M., Zhang, Z., Jing, L., Ling, H., & Fan, H. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3409078 · Cited by 15 · see citing works
Self-citationSpatial-temporal initialization dilemma: towards realistic visual tracking
Liu, C., Yuan, Y., Chen, X. Y., Lu, H., & Wang, D. (2024) · Visual Intelligence · doi:10.1007/s44267-024-00068-5 · Cited by 16 · see citing works
BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision
Zhao, X., Hu, S., Wang, Y., Zhang, J., Hu, Y., Liu, R., Ling, H., Li, Y., Li, R., Liu, K., et al. (2023) · International Journal of Computer Vision · doi:10.1007/s11263-023-01937-0 · Cited by 15 · see citing works
Self-citationA transformer based visual tracker with restricted token interaction and knowledge distillation
Liu, N., & Zhang, Y. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112736 · Cited by 15 · see citing works
Tracking Small and Fast Moving Objects: A Benchmark
Zhang, Z., Wu, F., Qiu, Y., Liang, J., & Li, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26293-7_33 · Cited by 15 · see citing works
Optimizing intrinsic representation for tracking
Zhang, Y., & Sun, H. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111955 · Cited by 17 · see citing works
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking
Hu, K., Yang, W., Huang, W., Zhou, X., Cao, M., Ren, J., & Tan, H. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i11.29145 · Cited by 14 · see citing works
Diminishing-feature attack: The adversarial infiltration on visual tracking
Suttapak, W., Zhang, J., & Zhang, L. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.08.071 · Cited by 14 · see citing works
Visual object tracking: Review and challenges
Chen, Z., Peng, C., Liu, S., & Ding, W. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113140 · Cited by 13 · see citing works
Robust Tracking via Combing Top-Down and Bottom-Up Attention
Li, N., Zhong, B., Zheng, Y., Liang, Q., Mo, Z., & Song, S. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3402436 · Cited by 14 · see citing works
SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object Tracking
Guo, G., Li, Z., An, W., Wang, Y., He, X., Luo, Y., Ling, Q., Li, M., & Lin, Z. (2024) · Remote Sensing · doi:10.3390/rs16162975 · Cited by 13 · see citing works
Enabling deformation slack in tracking with temporally even correlation filters
Zhang, Y., Pan, H., & Wang, J. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106839 · Cited by 17 · see citing works
Autoregressive Sequential Pretraining for Visual Tracking
Liang, S., Bai, Y., Gong, Y., & Wei, X. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00680 · Cited by 12 · see citing works
Fast moving table tennis ball tracking algorithm based on graph neural network
Zou, T., Wei, J., Yu, B., Qiu, X., Zhang, H., Du, X. S., & Liu, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-80056-3 · Cited by 12 · see citing works
Self-citationBeyond Kalman filters: deep learning-based filters for improved object tracking
Adžemović, M., Tadic, P. R., Petrović, A., & Nikolić, M. (2024) · Machine Vision and Applications · doi:10.1007/s00138-024-01644-x · Cited by 15 · see citing works
Progressive Semantic-Visual Alignment and Refinement for Vision-Language Tracking
Liang, Y., Wu, Q., Cheng, L., Xia, C., & Li, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3520354 · Cited by 12 · see citing works
Mamba Adapter: Efficient Multi-Modal Fusion for Vision-Language Tracking
Shi, L., Zhong, B., Liang, Q., Hu, X., Mo, Z., & Song, S. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3557570 · Cited by 12 · see citing works
Decoding split-frequency representation for cross-scale tracking
Zhang, Y., & Sun, H. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107587 · Cited by 11 · see citing works
SRRT: Exploring Search Region Regulation for Visual Object Tracking
Zhu, J., Chen, X. Y., Zhang, P., Wang, X., Wang, D., Zhao, W., & Lu, H. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3409898 · Cited by 15 · see citing works
Robust Tracking via Fully Exploring Background Prior Knowledge
Wang, Z., Zhou, Z., Chen, F., Xu, J., Pei, W., & Lu, G. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3323702 · Cited by 11 · see citing works
SOTVerse: A User-Defined Task Space of Single Object Tracking
Hu, S., Zhao, X., & Huang, K. (2023) · International Journal of Computer Vision · doi:10.1007/s11263-023-01908-5 · Cited by 11 · see citing works
General cross-modality registration framework for visible and infrared UAV target image registration
Luo, Y., Cha, H., Zuo, L., Cheng, P., & Zhao, Q. (2023) · Scientific Reports · doi:10.1038/s41598-023-39863-3 · Cited by 10 · see citing works
LGTrack: Exploiting Local and Global Properties for Robust Visual Tracking
Liu, C., Zhao, J. W., Bo, C., Li, S., Wang, D., & Lu, H. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3390054 · Cited by 10 · see citing works
CVT-Track: Concentrating on Valid Tokens for One-Stream Tracking
Li, J., Yuan, X., Qin, H., Wang, Y., Liu, X., & Xu, T. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3452231 · Cited by 10 · see citing works
SiamET: a Siamese based visual tracking network with enhanced templates
Zhou, Y., & Zhang, Y. (2022) · Applied Intelligence · doi:10.1007/s10489-021-03057-z · Cited by 10 · see citing works
MIMTracking: Masked image modeling enhanced vision transformer for visual object tracking
Zhang, S., Zhang, D., & Zou, Q. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128415 · Cited by 9 · see citing works
Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking
Zheng, J., Liang, M., Huang, S., & Ning, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73397-0_7 · Cited by 9 · see citing works
Keypoint prediction enhanced Siamese networks with attention for accurate visual object tracking
Sakthivel, S. S. K., Joo, Y. H., & Jeong, J. H. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.126237 · Cited by 9 · see citing works
Learning Distance Constrained Transformation for Video Tracking in Car-Following
Sun, H., Zhang, Y., Zhang, H., Qiu, X., & Rudas, I. J. (2025) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2025.3574326 · Cited by 12 · see citing works
ScalableTrack: Scalable One-Stream Tracking via Alternating Learning
Liu, H., Cai, Y., Fan, B., & Xu, J. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3402994 · Cited by 8 · see citing works
Adaptive representation-aligned modeling for visual tracking
Sun, Y., Wu, T., Peng, X., Li, M., Liu, D., Liu, Y., Wei, Y., & Zhang, J. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112847 · Cited by 8 · see citing works
DSTrack: Diffusion-based sequence learning for visual object tracking
Wang, Z., Wang, K., Tang, C., Li, X., Zhang, J., & Gao, L. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111694 · Cited by 8 · see citing works
Motion Deep Association for spatio-temporal object tracking
Guo, H., Du, X., & Wang, W. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111787 · Cited by 8 · see citing works
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Wang, S., Liang, M., Huang, S., Ning, J., & Cheng, G. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.112048 · Cited by 8 · see citing works
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Wang, Z., & Miao, D. (2022) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2022.12.003 · Cited by 8 · see citing works
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Pan, F., Zhao, L., & Wang, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-63028-5 · Cited by 7 · see citing works
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Abdelaziz, O., Shehata, M., & Mohamed, M. (2024) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02345-7 · Cited by 9 · see citing works
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Han, Y., Cai, M., Wu, J., Bai, Z., Zhuo, T., Zhang, H., & Zhang, Y. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3489797 · Cited by 7 · see citing works
A Transformer-based network with adaptive spatial prior for visual tracking
Cheng, F., Peng, G., Li, J.-B., Zhao, B., Pan, J., & Li, H. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128821 · Cited by 7 · see citing works
SIEVL-Track: Exploring Semantic Information Enhancement for Visual-Language Object Tracking
Li, N., Zhong, B., Liang, Q., Mo, Z., Nong, J., & Song, S. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3531375 · Cited by 9 · see citing works
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Zong, C., Zhao, J. W., Chen, X. Y., Lu, H., & Wang, D. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3557053 · Cited by 7 · see citing works
Gao, P., Xu, L., Tang, W.-J., Wang, F., Fujita, H., Aljuaid, H., & Yuan, R.-Y. (2025) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2025.3648551 · Cited by 7 · see citing works
- Authors
- Fan, H., Bai, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Harshit, Huang, M., Liu, J., Xu, Y., Liao, C., Yuan, L., & Ling, H.
- Affiliations
- Stony Brook University (US)
- Temple University (US)
- Peng Cheng Laboratory (CN)
- Amazon (United States) (US)
- Corresponding author
- Fan, Heng
- ORCID
- Venue
- International Journal of Computer Vision
- Published
- 2020-09-29
- Volume
- 129
- Issue
- 2
- Pages
- 439-461
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W3090155371
- Cited by
- 360
- References
- 95
- Citations by year
- 2026: 91 · 2025: 116 · 2024: 77 · 2023: 43 · 2022: 24 · 2021: 8 · 2020: 1
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- International Journal of Computer Vision (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- single object tracking, tracking benchmark, LaSOT, long-term tracking, target occlusion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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