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

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.123 · Cited by 19,741

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

Hyun Cho, J., Mall, U., Bala, K., & Hariharan, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01652 · Cited by 159

BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks

Han, B., Sim, J., & Adam, H. (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.2017.63 · Cited by 159

Lucid Data Dreaming for Video Object Segmentation

Khoreva, A., Benenson, R., Ilg, E., Brox, T., & Schiele, B. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-019-01164-6 · Cited by 158

SiamCDA: Complementarity- and Distractor-Aware RGB-T Tracking Based on Siamese Network

Zhang, T., Liu, X., Zhang, Q., & Han, J. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3072207 · Cited by 161

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

Edge Video Analytics for Public Safety: A Review

Zhang, Q., Sun, H., Wu, X., & Zhong, H. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2925910 · Cited by 156

Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning

Wang, Y., Gui, G., Lin, Y., Wu, H., Yuen, C., & Adachi, F. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3194967 · Cited by 157

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

Yin, Q., Hu, Q., Liu, H., Zhang, F., Wang, Y., Lin, Z., An, W., & Guo, Y. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3130436 · Cited by 167

Active Learning for Deep Visual Tracking

Yuan, D., Chang, X., Liu, Q., Yang, Y., Wang, D., Shu, M., He, Z., & Shi, G. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3266837 · Cited by 155

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 170

High-Performance Discriminative Tracking with Transformers

Yu, B., Tang, M., Zheng, L., Zhu, G., Wang, J., Feng, H., Feng, X., & Lu, H. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00971 · Cited by 154

Distilled Siamese Networks for Visual Tracking

Shen, J., Liu, Y., Dong, X., Lu, X., Khan, F. S., & Hoi, S. C. H. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3127492 · Cited by 152

A Robust Parallel Object Tracking Method for Illumination Variations

Liu, S., Liu, G., & Zhou, H. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-018-1134-8 · Cited by 151

Saliency-Associated Object Tracking

Zhou, Z., Pei, W., Li, X., Wang, H., Zheng, F., & He, Z. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00972 · Cited by 152

Universal 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 174

Accelerating Convolutional Neural Network With FFT on Embedded Hardware

Abtahi, T., Shea, C., Kulkarni, A., & Mohsenin, T. (2018) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2018.2825145 · Cited by 150

Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters

Uzkent, B., Rangnekar, A., & Hoffman, M. J. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2856370 · Cited by 150

ROAM: Recurrently Optimizing Tracking Model

Yang, T., Xu, P., Hu, R., Chai, H., & Chan, A. B. (2020) · 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/cvpr42600.2020.00675 · Cited by 149

Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN

Panetta, K. A., Kezebou, L., Oludare, V., & Agaian, S. С. (2021) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2021.3086907 · Cited by 150

Visual object tracking: A survey

Chen, F., Wang, X., Zhao, Y., Lv, S., & Niu, X. (2022) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2022.103508 · Cited by 159

TINYCD: a (not so) deep learning model for change detection

Codegoni, A., Lombardi, G., & Ferrari, A. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-08122-3 · Cited by 162

Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network

Zhang, H., Ni, W., Yan, W., Xiang, D., Wu, J., Yang, X., & Hui, B. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2916560 · Cited by 145

Vision Meets Drones: Past, Present and FuturePreprint

Zhu, P., Wen, L., Du, D., Bian, X., Hu, Q., & Ling, H. (2020) · arXiv (Cornell University) · Cited by 145

BlockQNN: Efficient Block-Wise Neural Network Architecture Generation

Zhong, Z., Yang, Z., Deng, B., Yan, J., Wu, W., Shao, J., & Liu, C. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.2969193 · Cited by 148

AI Coach: Deep Human Pose Estimation and Analysis for Personalized Athletic Training Assistance

Wang, J., Qiu, K., Peng, H., Fu, J., & Zhu, J. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350910 · Cited by 143

Adversarial Examples in Modern Machine Learning: A ReviewPreprint

Wiyatno, R. R., Xu, A., Dia, O., & de Berker, A. O. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.05268 · Cited by 168

SiamCorners: Siamese Corner Networks for Visual Tracking

Yang, K., He, Z., Pei, W., Zhou, Z., Li, X., Yuan, D., & Zhang, H. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3074239 · Cited by 142

Learning to Filter: Siamese Relation Network for Robust Tracking

Cheng, S., Zhong, B., Li, G., Liu, X., Tang, Z., Li, X., & Wang, J. (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/cvpr46437.2021.00440 · Cited by 142

Real-Time ‘Actor-Critic’ Tracking

Chen, B., Wang, D., Li, P., Wang, S., & Lu, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01234-2_20 · Cited by 141

Hierarchical spatial-aware Siamese network for thermal infrared object tracking

Li, X., Liu, Q., Fan, N., He, Z., & Wang, H. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.12.011 · Cited by 141

Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking

Feng, W., Han, R., Guo, Q., Zhu, J., & Wang, S. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2895411 · Cited by 140

Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning

Zhang, H., Zhang, L., Li, Z., & Zhang, J. (2020) · Sensors · doi:10.3390/s20020393 · Cited by 140

Unified Transformer Tracker for Object Tracking

Ma, F., Shou, M. Z., Zhu, L., Fan, H., Xu, Y., Yang, Y., & Yan, 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/cvpr52688.2022.00858 · Cited by 142

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 148

Handcrafted and Deep Trackers

Fiaz, M., Mahmood, A., Javed, S., & Jung, S. K. (2019) · ACM Computing Surveys · doi:10.1145/3309665 · Cited by 134

Dual-Awareness Attention for Few-Shot Object Detection

Chen, T.-I., Liu, Y.-C., Su, H.-T., Chang, Y., Lin, Y.-H., Yeh, J.-F., Chen, W., & Hsu, W. H. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3125195 · Cited by 139

Accelerating DETR Convergence via Semantic-Aligned Matching

Zhang, G., Luo, Z., Yu, Y., Cui, K., & Lu, S. (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/cvpr52688.2022.00102 · Cited by 135

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 140

Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations

Li, K., Fathan, M. I., Patel, K., Zhang, T., Zhong, C., Bansal, A. K., Rastogi, A. N., Wang, J. S., & Wang, G. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255809 · Cited by 136

Object Tracking by Jointly Exploiting Frame and Event Domain

Zhang, J., Yang, X. S., Fu, Y., Wei, X., Yin, B., & Dong, B. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01280 · Cited by 139

Local Semantic Siamese Networks for Fast Tracking

Liang, Z., & Shen, J. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2959256 · Cited by 131

Monocular Quasi-Dense 3D Object Tracking

Hu, H.-N., Yang, Y.-H., Fischer, T., Darrell, T., Yu, F., & Sun, M. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3168781 · Cited by 140

PTTR: Relational 3D Point Cloud Object Tracking with Transformer

Zhou, C., Luo, Z., Luo, Y., Liu, T., Pan, L., Cai, Z., Zhao, H., & Lu, S. (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/cvpr52688.2022.00834 · Cited by 130

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 146

Learning Position and Target Consistency for Memory-based Video Object Segmentation

Hu, L., Zhang, P., Zhang, B., Pan, P., Xu, Y., & Jin, R. (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/cvpr46437.2021.00413 · Cited by 132

Object Tracking in Satellite Videos by Fusing the Kernel Correlation Filter and the Three-Frame-Difference Algorithm

Du, B., Sun, Y., Cai, S., Wu, C., & Du, Q. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2017.2776899 · Cited by 128

Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network

Zhu, J., Sun, K., Jia, S., Li, Q., Hou, X., Lin, W., Liu, B., & Qiu, G. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2018.2879368 · Cited by 127

SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network

Chen, Z., Zhong, B., Li, G., Zhang, S., Ji, R., Tang, Z., & Li, X. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3195759 · Cited by 131

A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

Yin, J., Wang, W., Meng, Q., Yang, R., & Shen, J. (2020) · 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/cvpr42600.2020.00680 · Cited by 127

A Survey of FPGA-Based Robotic Computing

Wan, Z., Bo, Y., Li, T. Y., Tang, J., Zhu, Y., Wang, Y., Raychowdhury, A., & Liu, S. (2021) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2021.3071609 · Cited by 130

Learning Dual-Level Deep Representation for Thermal Infrared Tracking

Liu, Q., Yuan, D., Fan, N., Gao, P., Li, X., & He, Z. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3140929 · Cited by 126

Scaling Video Analytics on Constrained Edge NodesPreprint

Canel, C., Kim, T., Zhou, G., Li, C., Lim, H., Andersen, D. G., Kaminsky, M., & Dulloor, S. R. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.13536 · Cited by 126

Instance Guided Proposal Network for Person Search

Dong, W., Zhang, Z., Song, C., & Tan, T. (2020) · 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/cvpr42600.2020.00266 · Cited by 126

A Comprehensive Performance Evaluation of Deformable Face Tracking “In-the-Wild”

Chrysos, G. G., Antonakos, E., Snape, P., Asthana, A., & Zafeiriou, S. P. (2017) · International Journal of Computer Vision · doi:10.1007/s11263-017-0999-5 · Cited by 126

Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain

Hermessi, H., Mourali, O., & Zagrouba, E. (2018) · Neural Computing and Applications · doi:10.1007/s00521-018-3441-1 · Cited by 128

Unsupervised Deep Representation Learning for Real-Time Tracking

Wang, N., Zhou, W., Song, Y., Ma, C., Liu, W., & Li, H. (2020) · International Journal of Computer Vision · doi:10.1007/s11263-020-01357-4 · Cited by 124

Siamese Transformer Pyramid Networks for Real-Time UAV Tracking

Xing, D., Evangeliou, N., Τσουκαλάς, Α., & Tzes, A. P. (2022) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv51458.2022.00196 · Cited by 127

SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation

Wang, X., Li, C., Luo, B., & Tang, J. (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.2018.00511 · Cited by 123

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

Shi, M., Lü, H., Chen, F., Liu, C., & Cao, 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/cvpr52688.2022.00931 · Cited by 126

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds

Zheng, C., Yan, X., Gao, J., Zhao, W., Zhang, W., Li, Z., & Cui, S. R. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01295 · Cited by 124

NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework

Cho, J.-H., Jeong, J.-H., & Lee, S.-W. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3122969 · Cited by 127

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Ahmed, M. S., Hashmi, K. A., Pagani, A., Liwicki, M., Stricker, D., & Afzal, M. Z. (2021) · Sensors · doi:10.3390/s21155116 · Cited by 122

Exploring fusion strategies for accurate RGBT visual object tracking

Tang, Z., Xu, T., Li, H., Wu, X., Zhu, X., & Kittler, J. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101881 · Cited by 121

An object tracking framework with recapture based on correlation filters and Siamese networks

Zhang, J., Sun, J., Wang, J., Li, Z., & Chen, X. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.107730 · Cited by 120

StarNet: Targeted Computation for Object Detection in Point CloudsPreprint

Ngiam, J., Caine, B., Han, W., Yang, B., Chai, Y., Sun, P., Zhou, Y., Yi, X., Alsharif, O., Nguyen, P., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.11069 · Cited by 126

Efficient Object Detection in Large Images Using Deep Reinforcement Learning

Uzkent, B., Yeh, C., & Ermon, S. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093447 · Cited by 118

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

Deep Meta Learning for Real-Time Target-Aware Visual Tracking

Choi, J., Kwon, J., & Lee, K. M. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00100 · Cited by 118

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers

Feng, Q., Ablavsky, V., Bai, Q., & Sclaroff, S. (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/cvpr46437.2021.00579 · Cited by 127

Sort and Deep-SORT Based Multi-Object Tracking for Mobile Robotics: Evaluation with New Data Association Metrics

Pereira, R., Carvalho, G., Garrote, L., & Nunes, U. (2022) · Applied Sciences · doi:10.3390/app12031319 · Cited by 116

Siam R-CNN: Visual Tracking by Re-Detection

Voigtlaender, P., Luiten, J., Torr, P. H. S., & Leibe, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00661 · Cited by 115

Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning

Supančič, J. S., & Ramanan, D. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.43 · Cited by 115

SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks

Zhang, X., Ye, P., Peng, S., Liu, J., Gong, K., & Xiao, G. (2019) · IEEE Access · doi:10.1109/access.2019.2936914 · Cited by 115

Anchor Diffusion for Unsupervised Video Object Segmentation

Yang, Z., Wang, Q., Bertinetto, L., Bai, S., Hu, W., & Torr, P. H. S. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00102 · Cited by 115

BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking

Li, Z., Xiong, F., Zhou, J. W., Wang, J., Lu, J., & Qian, Y. (2020) · Proceedings - International Conference on Image Processing · doi:10.1109/icip40778.2020.9191105 · Cited by 114

The Ninth Visual Object Tracking VOT2021 Challenge Results

Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R. P., Kämäräinen, J., Chang, H. J., Danelljan, M., Zajc, L. Č., Lukežič, A., et al. (2021) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw54120.2021.00305 · Cited by 115

Learning Channel-Wise Interactions for Binary Convolutional Neural Networks

Wang, Z., Lu, J., Tao, C., Zhou, J., & Tian, Q. C. (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.2019.00066 · Cited by 114

Compact Transformer Tracker with Correlative Masked Modeling

Song, Z., Luo, R., Yu, J., Chen, Y. P., & Yang, W. H. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i2.25327 · Cited by 112

Towards Real-World Visual Tracking With Temporal Contexts

Cao, Z., Huang, Z., Pan, L., Zhang, S., Liu, Z., & Fu, C. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3307174 · Cited by 119

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark

Liu, Q., Li, X., He, Z., Li, C., Li, J., Zhou, Z., Yuan, D., Li, J., Yang, K., Fan, N., et al. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413922 · Cited by 110

Deep Reinforcement Learning for Visual Object Tracking in VideosPreprint

Zhang, D., Maei, H. R., Wang, X., & Wang, Y.-F. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.08936 · Cited by 120

Anti-UAV: A Large Multi-Modal Benchmark for UAV TrackingPreprint

Jiang, N., Wang, K., Peng, X., Yu, X., Wang, Q., Xing, J., Li, G., Zhao, J. C., Guo, G., & Han, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.08466 · Cited by 126

Deep Learning in Visual Tracking: A Review

Jiao, L., Wang, D., Bai, Y., Chen, P., & Liu, F. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3136907 · Cited by 113

Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking

Li, Z., Xiong, F., Zhou, J. W., Lu, J., & Qian, Y. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3263109 · Cited by 114

SiamHYPER: Learning a Hyperspectral Object Tracker From an RGB-Based Tracker

Liu, Z., Wang, X., Zhong, Y., Shu, M., & Sun, C. (2022) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3216995 · Cited by 115

SmallTrack: Wavelet Pooling and Graph Enhanced Classification for UAV Small Object Tracking

Xue, Y., Jin, G., Shen, T., Tan, L., Wang, N., Gao, J., & Wang, L. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3305728 · Cited by 110

Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods

Galić, I., Habijan, M., Leventić, H., & Romić, K. (2023) · Electronics · doi:10.3390/electronics12214411 · Cited by 116

Onboard Real-Time Aerial Tracking With Efficient Siamese Anchor Proposal Network

Fu, C., Cao, Z., Li, Y., Ye, J., & Feng, C. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3083880 · Cited by 110

Siamese attentional keypoint network for high performance visual tracking

Gao, P., Yuan, R.-Y., Wang, F., Xiao, L., Fujita, H., & Zhang, Y. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2019.105448 · Cited by 105

Integrated worker detection and tracking for the safe operation of construction machinery

Son, H., & Kim, C. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103670 · Cited by 107

Siamese Anchor Proposal Network for High-Speed Aerial Tracking

Fu, C., Cao, Z., Li, Y., Ye, J., & Feng, C. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9560756 · Cited by 105

VideoTrack: Learning to Track Objects via Video Transformer

Xie, F., Chu, L., Li, J., Lu, Y., & Ma, C. (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/cvpr52729.2023.02186 · Cited by 110

A Structured Model for Action Detection

Zhang, Y., Tokmakov, P., Hebert, M., & Schmid, C. (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.2019.01021 · Cited by 103

Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications

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A Survey on Siamese Network: Methodologies, Applications, and Opportunities

Li, Y., Chen, C. L. P., & Zhang, T. (2022) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3207112 · Cited by 110

TrTr: Visual Tracking with TransformerPreprint

Zhao, M., Okada, K., & Inaba, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.03817 · Cited by 109

Learning Regression and Verification Networks for Robust Long-term Tracking

Zhang, Y., Wang, L., Wang, D., Qi, J., & Lu, H. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-021-01487-3 · Cited by 101

Learning to Fuse Asymmetric Feature Maps in Siamese Trackers

Han, W., Dong, X., Khan, F. S., Shao, L., & Shen, J. (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/cvpr46437.2021.01630 · Cited by 104

Deep learning for video object segmentation: a review

Gao, M., Zheng, F., Yu, J. J. Q., Shan, C., Ding, G., & Han, J. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10176-7 · Cited by 103

Ranking-Based Siamese Visual Tracking

Tang, F., & Ling, Q. (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/cvpr52688.2022.00854 · Cited by 103

Deep Feature Based Siamese Network for Visual Object Tracking

Lim, S.-C., Huh, J., & Kim, J.-C. (2022) · Energies · doi:10.3390/en15176388 · Cited by 3

Real-time object tracking based on improved fully-convolutional siamese network

Xu, H., & Zhu, Y. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106755 · Cited by 12

Template Update Based on 3D-Convolutional Siamese Network for Object Tracking

Lu, X., Wang, X., Wang, Z., & Hei, X. (2021) · Asia Conference on Computers and Communications (ACCC) · doi:10.1109/accc54619.2021.00016

Visual tracking using Siamese convolutional neural network with region proposal and domain specific updating

Zhang, H., Ni, W., Yan, W., Wu, J., Hui, B., & Xiang, D. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.11.050 · Cited by 28

Siamese Trackers Based on Deep Features for Visual Tracking

Lim, S.-C., Huh, J., & Kim, J.-C. (2023) · Electronics · doi:10.3390/electronics12194140 · Cited by 1