Fully-Convolutional Siamese Networks for Object Tracking

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

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

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Ioffe, S., & Szegedy, C. (2015) · arXiv · doi:10.48550/arxiv.1502.03167 · Cited by 27,818

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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FaceNet: A unified embedding for face recognition and clustering

Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298682 · Cited by 15,267

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Taigman, Y., Yang, M., Ranzato, M., & Wolf, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.220 · Cited by 6,542

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

Deep Face Recognition

Parkhi, O. M., Vedaldi, A., & Zisserman, A. (2015) · Procedings of the British Machine Vision Conference 2015 · doi:10.5244/c.29.41 · Cited by 5,479

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

Razavian, A. S., Azizpour, H., Sullivan, J., & Carlsson, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2014.131 · Cited by 4,451

Flownet: Learning optical flow with convolutional networks

Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.316 · Cited by 4,313

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images

Chen, H., Wang, Y., Zheng, K., Li, W., Chang, C.-T., Harrison, A. P., Xiao, J. Z., Hager, G. D., Lü, L., Liao, C., et al. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58592-1_15 · Cited by 45

Pseudo-Siamese Graph Matching Network for Textureless Objects’ 6-D Pose Estimation

Wu, C., Chen, L., He, Z., & Jiang, J. (2021) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2021.3070501 · Cited by 45

Unsupervised Deep Hyperspectral Video Target Tracking and High Spectral-Spatial-Temporal Resolution (H³) Benchmark Dataset

Liu, Z., Zhong, Y., Wang, X., Shu, M., & Zhang, L. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3111183 · Cited by 45

Deep learning in macroscopic diffuse optical imaging

Smith, J. T., Ochoa, M., Faulkner, D. E., Haskins, G., & Intes, X. (2022) · Journal of Biomedical Optics · doi:10.1117/1.jbo.27.2.020901 · Cited by 47

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos

Zhang, W., Jiao, L., Liu, F., Li, L., Liu, X., & Liu, J. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3109028 · Cited by 44

Global Tracking via Ensemble of Local Trackers

Zhou, Z., Chen, J., Pei, W., Mao, K., Wang, H., & He, Z. (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/cvpr52688.2022.00856 · Cited by 44

Deep learning-based framework for monitoring wearing personal protective equipment on construction sites

Lee, Y.-R., Jung, S., Kang, K., Ryu, H., & Ryu, H.-G. (2023) · Journal of Computational Design and Engineering · doi:10.1093/jcde/qwad019 · Cited by 44

EANTrack: An Efficient Attention Network for Visual Tracking

Gu, F., Lu, J., Cai, C., Zhu, Q., & Ju, Z. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3319676 · Cited by 44

Satellite Video Object Tracking Based on Location Prompts

Wang, J., Liu, F., Jiao, L., Gao, Y., Wang, H., Li, L., Chen, P., Liu, X., & Li, S. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3358549 · Cited by 46

Residual LSTM Attention Network for Object Tracking

Kim, H., & Park, R. (2018) · IEEE Signal Processing Letters · doi:10.1109/lsp.2018.2835768 · Cited by 45

Robust Object Tracking via Local Sparse Appearance Model

Nai, K., Li, Z., Li, G., & Wang, S. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2848465 · Cited by 44

Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification

Zhang, Y., Yu, M., Li, N., Yu, C., Cui, J., & Yu, D. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8682676 · Cited by 44

Do Image Classifiers Generalize Across Time?

Shankar, V., Dave, A., Roelofs, R., Ramanan, D., Recht, B., & Schmidt, L. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00952 · Cited by 61

Unsuccessful story about few shot malware family classification and siamese network to the rescue

Bai, Y., Xing, Z., Li, X., Feng, Z., & Ma, D. (2020) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3377811.3380354 · Cited by 44

Object Tracking via Spatial-Temporal Memory Network

Zhou, Z., Li, X., Zhang, T., Wang, H., & He, Z. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3094645 · Cited by 44

Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering

Kim, J., & Kang, Y. (2022) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi11040245 · Cited by 44

Visual tracking using spatio-temporally nonlocally regularized correlation filter

Zhang, K., Li, X., Song, H., Liu, Q., & Lian, W. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.05.017 · Cited by 43

Sparse Feature Learning for Correlation Filter Tracking Toward 5G-Enabled Tactile Internet

Jia, M., Gao, Z., Guo, Q., Lin, Y., & Gu, X. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2906087 · Cited by 43

DAL: A Deep Depth-Aware Long-term Tracker

Qian, Y., Yan, S., Lukežič, A., Kristan, M., Kämäräinen, J., & Matas, J. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412984 · Cited by 43

Object Tracking Based on Satellite Videos: A Literature Review

Zhang, Z., Wang, C., Song, J., & Xu, Y. (2022) · Remote Sensing · doi:10.3390/rs14153674 · Cited by 43

Quality-Aware RGBT Tracking via Supervised Reliability Learning and Weighted Residual Guidance

Liu, L., Li, C., Xiao, Y., & Tang, J. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612341 · Cited by 43

Motion-Aware Correlation Filter-Based Object Tracking in Satellite Videos

Lin, B., Zheng, J., Xue, C., Fu, L., Li, Y., & Shen, Q. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3350988 · Cited by 44

QueryTrack: Joint-Modality Query Fusion Network for RGBT Tracking

Fan, H., Yu, Z., Wang, Q., Fan, B., & Tang, Y. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3393298 · Cited by 43

DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking

Abdelpakey, M. H., & Shehata, M. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2942506 · Cited by 43

Learning Temporary Block-Based Bidirectional Incongruity-Aware Correlation Filters for Efficient UAV Object Tracking

Lin, F., Fu, C., He, Y., Guo, F., & Tang, Q. (2020) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.3023440 · Cited by 43

SiamCAN: Real-Time Visual Tracking Based on Siamese Center-Aware Network

Zhou, W., Wen, L., Zhang, L., Du, D., Luo, T., & Wu, Y. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3060905 · Cited by 43

Dual Siamese network for RGBT tracking via fusing predicted position maps

Guo, C. Y., Yang, D., Li, C., & Song, P. (2021) · The Visual Computer · doi:10.1007/s00371-021-02131-4 · Cited by 43

POINet

Ruan, W., Liu, W., Bao, Q., Chen, J., Cheng, Y., & Mei, T. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350984 · Cited by 42

A Unified Transformer-based Tracker for Anti-UAV Tracking

Yu, Q., Ma, Y., He, J., Yang, D., & Zhang, T. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00305 · Cited by 42

Transformer-based visual object tracking via fine–coarse concatenated attention and cross concatenated MLP

Gao, L., Chen, L., Liu, P., Jiang, Y., Li, Y., & Ning, J. (2023) · Pattern Recognition · doi:10.1016/j.patcog.2023.109964 · Cited by 42

A survey of artificial intelligence approaches in blind source separation

Ansari, S., Alatrany, A. S., Alnajjar, K. A., Khater, T., Mahmoud, S. A., Al‐Jumeily, D., & Hussain, A. J. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126895 · Cited by 42

Object Tracking for a Smart City Using IoT and Edge Computing

Zhang, H., Zhang, Z., Zhang, L., Yang, Y. F., Kang, Q., & Sun, D. W. (2019) · Sensors · doi:10.3390/s19091987 · Cited by 42

DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points

Sinha, A., Murez, Z., Bartolozzi, J., Badrinarayanan, V., & Rabinovich, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58589-1_7 · Cited by 42

Learning Deep Lucas-Kanade Siamese Network for Visual Tracking

Yao, S., Han, X., Zhang, H., Wang, X., & Cao, X. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3076272 · Cited by 42

Pedestrian Street-Cross Action Recognition in Monocular Far Infrared Sequences

Brehar, R. D., Muresan, M. P., Mariţa, T., Vancea, C., Negru, M., & Nedevschi, S. (2021) · IEEE Access · doi:10.1109/access.2021.3080822 · Cited by 44

HDINet: Hierarchical Dual-Sensor Interaction Network for RGBT Tracking

Mei, J., Zhou, D., Cao, J., Nie, R., & Guo, Y. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3078455 · Cited by 42

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Cai, J., Tang, Y., Yan, K., Harrison, A. P., Xiao, J. Z., Lin, G., & Lü, L. (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/cvpr46437.2021.01491 · Cited by 44

An Upgraded Siamese Neural Network for Motion Tracking in Ultrasound Image Sequences

Bharadwaj, S., Prasad, S., & Almekkawy, M. K. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3095299 · Cited by 42

Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

Chen, Y., Tang, Y., Yin, Z., Han, T., Zou, B., & Feng, H. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3185328 · Cited by 42

Temporal Coherence for Active Learning in Videos

Zolfaghari Bengar, J., Gonzalez-Garcia, A., Villalonga, G., Raducanu, B., Habibi Aghdam, H., Mozerov, M., Lopez, A. M., & van de Weijer, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2019.00120 · Cited by 41

CMAT: Integrating Convolution Mixer and Self-Attention for Visual Tracking

Wang, J., Yin, P., Wang, Y., & Yang, W. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3264851 · Cited by 42

Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field

Cheng, L., Chou, H., Cai, Y.-X., Huang, K., Hsieh, C.-C., Chu, P.-L., Cheng, I.-S., & Hsieh, S. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126946 · Cited by 41

A3Track: Achieving Precise Target Tracking in Aerial Images With Receptive Field Alignment

Xu, L., Xu, C., Cheng, W., Yang, W. T., & Xia, G.-S. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3335359 · Cited by 43

OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection

Wang, J., Wu, Z., Chen, D., Luo, C., Dai, X., Yuan, L., & Jiang, Y. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3529926 · Cited by 47

Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR

Yang, X., Shi, J., Zhou, Y., Wang, C., Hu, Y. G., Zhang, X., & Wei, S. (2020) · Remote Sensing · doi:10.3390/rs12183083 · Cited by 41

DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch

Ruan, X., Liu, Y., Li, B., Yuan, C., & Hu, W. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i3.16351 · Cited by 41

A real-time person tracking system based on SiamMask network for intelligent video surveillance

Ahmed, I., & Jeon, G. (2021) · Journal of Real-Time Image Processing · doi:10.1007/s11554-021-01144-5 · Cited by 41

Visual Explanation for Deep Metric Learning

Zhu, S., Yang, T., & Chen, C. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3107214 · Cited by 41

SiamON: Siamese Occlusion-Aware Network for Visual Tracking

Fan, C., Yu, H., Huang, Y., Shan, C., Wang, L., & Li, C. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3102886 · Cited by 42

GSC: A Graph and Spatio-Temporal Continuity Based Framework for Accident Anticipation

Wang, T., Chen, K., Chen, G., Li, B., Li, Z., Liu, Z., & Jiang, C. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3257169 · Cited by 45

Learning spatio-temporal discriminative model for affine subspace based visual object tracking

Xu, T., Zhu, X., & Wu, X. (2023) · Visual Intelligence · doi:10.1007/s44267-023-00002-1 · Cited by 40

Unsupervised model adaptation for source-free segmentation of medical images

Stan, S., & Rostami, M. G. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103179 · Cited by 40

SiamSTU: Hyperspectral video tracker based on spectral spatial angle mapping enhancement and state aware template update

Zhao, D., Zhang, H., Arun, P. V., Jiao, C., Zhou, H., Xiang, P., & Cheng, K. (2025) · Infrared Physics & Technology · doi:10.1016/j.infrared.2025.105919 · Cited by 40

Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking

Wu, Y., Li, Y., Liu, M., Wang, X., Yang, X., Ye, H., Zeng, D., Zhao, Q., & Li, S. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3599856 · Cited by 44

Robust occlusion-aware part-based visual tracking with object scale adaptation

Wang, X., Hou, Z., Yu, W., Pu, L., Jin, Z., & Qin, X. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.04.011 · Cited by 40

Siamese Style Convolutional Neural Networks for Sound Search by Vocal Imitation

Zhang, Y., Pardo, B., & Duan, Z. (2018) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2018.2868428 · Cited by 40

Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection

Xu, Y., Ouyang, X., Cheng, Y., Yu, S., Xiong, L., Ng, C.-C., Pranata, S., Shen, S., & Xing, J. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00027 · Cited by 40

Performance Evaluation Methodology for Long-Term Single-Object Tracking

Lukežič, A., Zajc, L. Č., Vojir, T., Matas, J., & Kristan, M. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2980618 · Cited by 40

TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking

Yuan, D., Shu, X., & He, Z. (2020) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2020.102882 · Cited by 40

Adaptive feature fusion for visual object tracking

Zhao, S., Xu, T., Wu, X.-J., & Zhu, X. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107679 · Cited by 40

Mutual Learning and Feature Fusion Siamese Networks for Visual Object Tracking

Jiang, M., Zhao, Y., & Kong, J. (2020) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.3037947 · Cited by 40

Single Object Tracking in Satellite Videos: Deep Siamese Network Incorporating an Interframe Difference Centroid Inertia Motion Model

Zhu, K., Zhang, X., Chen, G., Tan, X., Liao, P., Wu, H., Cui, X., Zuo, Y., & Lv, Z. (2021) · Remote Sensing · doi:10.3390/rs13071298 · Cited by 40

RGBT Tracking via Noise-Robust Cross-Modal Ranking

Li, C., Xiang, Z., Tang, J., Luo, B., & Wang, F. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3067107 · Cited by 40

Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter

Zhao, D., Cao, J., Zhu, X., Zhang, Z., Arun, P. V., Guo, Y., Qian, K., Zhang, L., Zhou, H., & Hu, J. (2022) · Remote Sensing · doi:10.3390/rs14246219 · Cited by 42

Object Tracking Based on a Time-Varying Spatio-Temporal Regularized Correlation Filter With Aberrance Repression

Wang, J., Jia, Z., Hui-cheng, L., Yang, J., & Kasabov, N. K. (2022) · IEEE photonics journal · doi:10.1109/jphot.2022.3227118 · Cited by 39

Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking

Luo, Y., Guo, X., Dong, M., & Yu, J. (2023) · Sensors · doi:10.3390/s23146609 · Cited by 39

BPMTrack: Multi-Object Tracking With Detection Box Application Pattern Mining

Gao, Y., Xu, H., Li, J., & Gao, X. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3364828 · Cited by 42

RGBT tracking: A comprehensive review

Feng, M., & Su, J. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102492 · Cited by 41

A Comprehensive Review of RGBT Tracking

Zhang, H., Yuan, D., Shu, X., Li, Z., Liu, Q., Chang, X., He, Z., & Shi, G. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3436098 · Cited by 39

Adaptively bypassing vision transformer blocks for efficient visual tracking

Yang, X., Zeng, D., Wang, X., Wu, Y., Ye, H., Zhao, Q., & Li, S. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.111278 · Cited by 39

Deep residual networks for automatic segmentation of laparoscopic videos of the liver

Gibson, E., Robu, M., Thompson, S., Edwards, P., Schneider, C., Gurusamy, K. S., Davidson, B. R., Hawkes, D. J., Barratt, D. C., & Clarkson, M. J. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2255975 · Cited by 39

Distilling Channels for Efficient Deep Tracking

Ge, S., Luo, Z., Zhang, C., Hua, Y., & Tao, D. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2950508 · Cited by 39

Siamese networks with distractor-reduction method for long-term visual object tracking

Xuan, S., Li, S., Zhao, Z., Kou, L., Zhou, Z., & Xia, G.-S. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107698 · Cited by 39

Spatial Reliability Enhanced Correlation Filter: An Efficient Approach for Real-Time UAV Tracking

Fu, C., Jin, J., Ding, F., Li, Y., & Lu, G. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3118891 · Cited by 39

Reconstruction Regularized Deep Metric Learning for Multi-Label Image Classification

Li, C., Liu, C., Duan, L., Gao, P., & Zheng, K. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2924023 · Cited by 39

Inteligência artificial: avanços e tendências

Cozman, F. G., Plonski, G. A., & Neri, H. (2021) · Universidade de São Paulo. Instituto de Estudos Avançados eBooks · doi:10.11606/9786587773131 · Cited by 54

Siamese Implicit Region Proposal Network With Compound Attention for Visual Tracking

Chan, S., Tao, J., Zhou, X., Bai, C., & Zhang, X. (2022) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3148876 · Cited by 38

Deep-learning-empowered visual ship detection and tracking: Literature review and future direction

Zhang, B., Liu, J., Liu, R. W., & Huang, Y. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109754 · Cited by 39

A Review of Multi‐Object Tracking in Recent Times

Li, S., Ren, H., Xie, X., & Cao, Y. (2025) · IET Computer Vision · doi:10.1049/cvi2.70010 · Cited by 44

Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking

Wang, Q., Zhang, M., Xing, J., Gao, J. G., Hu, W., & Maybank, S. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/137 · Cited by 38

MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking

Liu, B., Liu, Q., Zhu, Z., Zhang, T., & Yang, Y. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.10.044 · Cited by 38

Serving deep neural networks at the cloud edge for vision applications on mobile platforms

Fang, Z., Hong, D., & Gupta, R. K. (2019) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3304109.3306221 · Cited by 40

SiamATL: Online Update of Siamese Tracking Network via Attentional Transfer Learning

Huang, B., Xu, T., Shen, Z., Jiang, S., Zhao, B., & Bian, Z. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3043520 · Cited by 38

Simulating multi‐exit evacuation using deep reinforcement learning

Xu, D., Huang, X., Mango, J., Li, X., & Li, Z. (2021) · Transactions in GIS · doi:10.1111/tgis.12738 · Cited by 38

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

Zhang, Z., Zhong, B., Zhang, S., Tang, Z., Liu, X., & Zhang, Z. (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/cvpr46437.2021.00108 · Cited by 38

Real‐time generic target tracking for structural displacement monitoring under environmental uncertainties via deep learning

Jeong, J., & Jo, H. (2021) · Structural Control and Health Monitoring · doi:10.1002/stc.2902 · Cited by 38

SiamST: Siamese network with spatio-temporal awareness for object tracking

Zhang, H., Xing, W., Yang, Y., Li, Y., & Yuan, D. (2023) · Information Sciences · doi:10.1016/j.ins.2023.03.083 · Cited by 39

Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial NetworkPreprint

Shi, Y., Wu, X., & Zhu, M. Q. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.06027 · Cited by 38

Target Transformed Regression for Accurate TrackingPreprint

Cui, Y., Jiang, C., Wang, L., & Wu, G. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.00403 · Cited by 39

Midas

Deng, K., Zhao, D. Y., Han, Q., Zhang, Z., Wang, S., Zhou, A., & Ma, H. (2023) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3580872 · Cited by 37

Detecting building changes with off-nadir aerial images

Pang, C., Wu, J., Ding, J., Song, C., & Xia, G.-S. (2023) · Science China Information Sciences · doi:10.1007/s11432-022-3691-4 · Cited by 37

Underwater object tracker: UOSTrack for marine organism grasping of underwater vehicles

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