/Online-Visual-Tracking-SOTA

Online-Visual-Tracking-SOTA

This page focuses on watching the state-of-the-art performance for the short-term tracking task (if you are interested in the long-term tracking task, please visit here). The evaluation datasets include: LaSOT, VOT2018, TrackingNet, GOT-10k, OTB-100, VOT2019, NFS, UAV123, TC-128. If you are also interested in some resources on Paper Writting (computer vision), please visit here.

  • TOP-One Performance on All Datasets:

    LaSOT🌟 VOT2020🌟 VOT2018🌟 TrackingNet🌟 Got-10k🌟 OTB-100🌟 VOT2019 NFS UAV123 TC-128
    Success EAO EAO Success AO Success EAO Success Success Success
    0.648 0.530 0.510 0.812 0.649 0.715 0.417 0.639 0.680 0.649
    Siam R-CNN (CVPR20) RPT (ECCVW20) RPT (ECCVW20) Siam R-CNN (CVPR20) Siam R-CNN (CVPR20) RPT (ECCVW20) RPT (ECCVW20) Siam R-CNN (CVPR20) Siam R-CNN (CVPR20) Siam R-CNN (CVPR20)

  • LaSOT:star2:

    Tracker Success Score Speed (fps) Paper/Code
    Siam R-CNN (CVPR20) 0.648 5 (Tesla V100) Paper/Code
    PrDiMP50 (CVPR20) 0.598 30 (Unkown GPU) Paper/Code
    LTMU (CVPR20) 0.572 13 (RTX 2080Ti) Paper/Code
    DiMP50 (ICCV19) 0.568 43 (GTX 1080) Paper/Code
    Ocean (ECCV20) 0.560 25 (Tesla V100) Paper/Code
    SiamAttn (CVPR20) 0.560 45 (RTX 2080Ti) Paper/Code
    SiamFC++GoogLeNet (AAAI20) 0.544 90 (RTX 2080Ti) Paper/Code
    MAML-FCOS (CVPR20) 0.523 42 (NVIDIA P100) Paper/Code
    GlobalTrack (AAAI20) 0.521 6 (GTX TitanX) Paper/Code
    ATOM (CVPR19) 0.515 30 (GTX 1080) Paper/Code
    • Only top-10 published trackers are reported here!

  • VOT2020:star2:

    Tracker EAO Accuracy (A) Robustness (R) Paper/Code
    RPT (ECCVW20):star2: 0.530 XXX XXX Paper/Code
    OceanPlus 0.491 XXX XXX Paper/Code
    AlphaRef:star2: 0.482 XXX XXX Paper/Code
    AFOD 0.472 XXX XXX Paper/Code
    LWTL 0.463 XXX XXX Paper/Code
    fastOcean 0.461 XXX XXX Paper/Code
    TRASTmask 0.441 XXX XXX Paper/Code
    DET50 0.439 XXX XXX Paper/Code
    D3S 0.430 XXX XXX Paper/Code
    Ocean 0.424 XXX XXX Paper/Code
    • RPT
    • AlphaRef

  • VOT2018:star2:

    Tracker EAO Accuracy (A) Robustness (R) Paper/Code
    RPT (ECCVW20) 0.510 0.629 0.103 Paper/Code
    Ocean (ECCV20) 0.489 0.592 0.117 Paper/Code
    D3S (CVPR20) 0.489 0.640 0.150 Paper/Code
    SiamAttn (CVPR20) 0.470 0.630 0.160 Paper/Code
    MAML-Retina (CVPR20) 0.452 0.604 0.159 Paper/Code
    SiamBAN (CVPR20) 0.452 0.597 0.178 Paper/Code
    PG-Net (ECCV20) 0.447 0.618 0.192 Paper/Code
    PrDiMP50 (CVPR20) 0.442 0.618 0.165 Paper/Code
    DiMP50 (ICCV19) 0.440 0.587 0.153 Paper/Code
    SiamFC++GoogLeNet (AAAI20) 0.426 0.587 0.183 Paper/Code
    SiamRPN++ (CVPR19) 0.414 0.600 0.234 Paper/Code
    • VOT2018 and VOT2017 have same sequences. VOT2013 to VOT2016 are small-scale and out-of-date.
    • The sequences of VOT2019 and VOT2018 have small differences, and few trackers has been tested on VOT2019.
    • Only top-10 published trackers are reported here!

  • TrackingNet:star2:

    Tracker Success Score Norm Precision Score Speed (fps) Paper/Code
    Siam R-CNN (CVPR20) 0.812 0.854 5 (Tesla V100) Paper/Code
    PrDiMP50 (CVPR20) 0.758 0.816 30 (Unkown GPU) Paper/Code
    MAML-FCOS (CVPR20) 0.757 0.822 42 (NVIDIA P100) Paper/Code
    SiamAttn (CVPR20) 0.752 0.817 45 (RTX 2080Ti) Paper/Code
    DiMP50 (ICCV19) 0.740 0.801 43 (GTX 1080) Paper/Code
    SiamRPN++ (CVPR19) 0.733 0.800 35 (Titan XP) Paper/Code

  • GOT-10k:star2:

    Tracker Success Score (AO) Speed (fps) Paper/Code
    Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code
    PrDiMP50 (CVPR20) 0.634 30 (Unkown GPU) Paper/Code
    RPT (ECCVW20) 0.624 20 (GTX 1080Ti) Paper
    Ocean (ECCV20) 0.611 25 (Tesla V100) Paper/Code
    DiMP50 (ICCV19) 0.611 43 (GTX 1080) Paper/Code
    D3S (CVPR20) 0.597 25 (GTX 1080) Paper/Code
    ATOM (CVPR19) 0.556 30 (GTX 1080) Paper/Code

  • VOT2019

    Tracker EAO Accuracy (A) Robustness (R) Paper/Code
    RPT (ECCVW20) 0.417 0.623 0.186 Paper
    DRNet (VOT2019) 0.395 0.605 0.261 Code
    • DRNet is the best tracker in the original VOT2019 report.
    • There is a small difference between VOT2019 and VOT2018. VOT2018 is much more popular.
    • Few trackers was tested on this dataset and performed better than DRNet.

  • OTB-100/OTB-2015:star2:

    Tracker Success Score Precision Score Speed (fps) Paper/Code
    RPT (ECCVW20) 0.715 0.936 20 (GTX 1080Ti) Paper
    SiamAttn (CVPR20) 0.712 0.926 45 (RTX 2080Ti) Paper/Code
    UPDT (ECCV2018) 0.702 0.931 N/A Paper
    Siam R-CNN (CVPR20) 0.701 0.891 5 (Tesla V100) Paper/Code
    DRT (CVPR18) 0.699 0.923 N/A Paper/Code
    PrDiMP50 (CVPR20) 0.696 N/A 30 (Unkown GPU) Paper/Code
    SiamRPN++ (CVPR19) 0.696 0.914 35 (Titan XP) Paper/Code
    MCCT (CVPR18) 0.696 0.914 8 (GTX 1080Ti) Paper/Code
    SiamBAN (CVPR20) 0.696 0.910 40 (GTX 1080Ti) Paper/Code
    GFS-DCF (ICCV19) 0.693 0.932 8 (Titan X) Paper/Code
    • Too many trackers are tested on OTB-100, Only top-10 published trackers are reported here!.
    • OTB-50 and OTB-2013 are similar subsets of OTB-100.
    • It seems that the OTB-100 dataset has already been overfitting.

  • NFS

    Tracker Success Score Speed (fps) Paper/Code
    Siam R-CNN (CVPR20) 0.639 5 (Tesla V100) Paper/Code
    PrDiMP50 (CVPR20) 0.635 30 (Unkown GPU) Paper/Code
    DiMP50 (ICCV19) 0.620 43 (GTX 1080) Paper/Code

  • UAV123

    Tracker Success Score Speed (fps) Paper/Code
    PrDiMP50 (CVPR20) 0.680 30 (Unkown GPU) Paper/Code
    DiMP50 (ICCV19) 0.654 43 (GTX 1080) Paper/Code
    Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code
    ATOM (CVPR19) 0.643 30 (GTX 1080) Paper/Code
    SiamRPN++ (CVPR19) 0.642 35 (Titan XP) Paper/Code

  • TC-128

    Tracker Success Score Speed (fps) Paper/Code
    Siam R-CNN (CVPR20) 0.649 5 (Tesla V100) Paper/Code
    UPDT (ECCV2018) 0.622 N/A Paper

All Short-Term Tracking Datasets:

  • List:

    Datasets #videos #total/min/max/average frames Absent Label
    LaSOT 1,400 (I-all-1,400/II-test-280) 3.52M/1,000/11,397/2,506 Yes
    VOT2018 No
    TrackingNet 30132 (classes 27) 14M/-/-/471 No
    GOT-10k train-10k, val-180, test-180 1.5M No
    NfS 100 383K/169/20,665/3,830 No
    UAV123 123 113K/109/3,085/915 No
    OTB-2015 100 59K/71/3,872/590 No
    TC-128 128 55K/71/3,872/429 No
    ALOV300++ 315 8.9K/XXXX/XXXX/284 No
    NUS-PRO 365 135K/146/5,040/371 No

Conference Tracking Papers:

  • 2021:

  • 2020:

    • High-Performance Long-Term Tracking with Meta-Updater. CVPR, 2020.
      Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang. [Paper][Code]

    • Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. CVPR, 2020.
      Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang. [Paper][Code]

    • Siam R-CNN: Visual Tracking by Re-Detection. CVPR, 2020.
      Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe. [Paper][Code]

    • Probabilistic Regression for Visual Tracking. CVPR, 2020.
      Martin Danelljan, Luc Van Gool, Radu Timofte. [Paper][Code]

    • D3S - A Discriminative Single Shot Segmentation Tracker. CVPR, 2020.
      Alan Lukezic, Jiri Matas, Matej Kristan. [Paper][Code]

    • Tracking by Instance Detection: A Meta-Learning Approach. CVPR, 2020.
      Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng: Tracking by Instance Detection: A Meta-Learning Approach. [Paper][Code]

    • SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. CVPR, 2020.
      Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen. [Paper][Code]

    • Siamese Box Adaptive Network for Visual Tracking. CVPR, 2020.
      Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji. [Paper][Code]

    • Deformable Siamese Attention Networks for Visual Object Tracking. CVPR, 2020.
      Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. [Paper][Code]

    • MAST: A Memory-Augmented Self-supervised Tracker. CVPR, 2020.
      Zihang Lai, Erika Lu, Weidi Xie. [Paper][Code]

    • ROAM: Recurrently Optimizing Tracking Model. CVPR, 2020.
      Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan. [Paper][Code]

    • AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization. CVPR, 2020.
      Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu. [Paper][Code]

  • 2019:

    • Unsupervised Deep Tracking. CVPR, 2019.
      Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li. [Paper][Code]

    • Fast Online Object Tracking and Segmentation: A Unifying Approach. CVPR, 2019.
      Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. [Paper]

    • Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. CVPR, 2019.
      Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. [Paper]

    • Target-Aware Deep Tracking. CVPR, 2019.
      Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang. [Paper]

    • SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. CVPR, 2019.
      Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng. [Paper]

    • SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks. CVPR, 2019.
      Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan. [Paper]

    • Deeper and Wider Siamese Networks for Real-Time Visual Tracking. CVPR, 2019.
      Zhipeng Zhang, Houwen Peng. [Paper]

    • Graph Convolutional Tracking. CVPR, 2019.
      Junyu Gao, Tianzhu Zhang, Changsheng Xu. [Paper]

    • ATOM: Accurate Tracking by Overlap Maximization. CVPR, 2019.
      Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

    • Visual Tracking via Adaptive Spatially-Regularized Correlation Filters. CVPR, 2019.
      Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. [Paper]

    • LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. CVPR, 2019.
      Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. [Paper]

    • ROI Pooled Correlation Filters for Visual Tracking. CVPR, 2019.
      Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu. [Paper]

    • Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. CVPR, 2019.
      Heng Fan, Haibin Ling. [Paper]

    • Deep Meta Learning for Real-Time Target-Aware Visual Tracking. ICCV, 2019.
      Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. [Paper

    • 'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking. ICCV, 2019.
      Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang. [Paper]

    • Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. ICCV, 2019.
      Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu. [Paper]

    • Physical Adversarial Textures That Fool Visual Object Tracking. ICCV, 2019.
      Rey Reza Wiyatno, Anqi Xu. [Paper]

    • GradNet: Gradient-Guided Network for Visual Object Tracking. ICCV, 2019.
      Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu. [Paper]

    • Learning Discriminative Model Prediction for Tracking. ICCV, 2019.
      Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. [Paper]

    • Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. ICCV, 2019.
      Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. [Paper]

    • CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. ICCV, 2019.
      Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan. [Paper]

  • 2018:

    • Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR, 2018.
      Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [Paper]

    • Correlation Tracking via Joint Discrimination and Reliability Learning. CVPR, 2018.
      Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [Paper]

    • Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR, 2018.
      Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli. [Paper]

    • End-to-End Flow Correlation Tracking With Spatial-Temporal Attention. CVPR, 2018.
      Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. [Paper]

    • Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR, 2018.
      Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. [Paper]

    • A Twofold Siamese Network for Real-Time Object Tracking. CVPR, 2018.
      Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. [Paper]

    • Multi-Cue Correlation Filters for Robust Visual Tracking. CVPR, 2018.
      Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. [Paper]

    • Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. CVPR, 2018.
      Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank. [Paper]

    • SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. CVPR, 2018.
      Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. [Paper]

    • High-Speed Tracking With Multi-Kernel Correlation Filters. CVPR, 2018.
      Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. [Paper]

    • Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. CVPR, 2018.
      Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. [Paper]

    • Learning Spatial-Aware Regressions for Visual Tracking. CVPR, 2018.
      Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [Paper]

    • High Performance Visual Tracking With Siamese Region Proposal Network. CVPR, 2018.
      Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu. [Paper]

    • VITAL: VIsual Tracking via Adversarial Learning. CVPR, 2018.
      Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, Ming-Hsuan Yang. [Paper]

    • Distractor-aware Siamese Networks for Visual Object Tracking. ECCV, 2018.
      Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, Weiming Hu. [Paper]

    • Learning Dynamic Memory Networks for Object Tracking. ECCV, 2018.
      Tianyu Yang, Antoni B. Chan. [Paper]

    • TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. ECCV, 2018.
      Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, Bernard Ghanem. [Paper]

    • Structured Siamese Network for Real-Time Visual Tracking. ECCV, 2018.
      Yunhua Zhang, Lijun Wang, Jinqing Qi, Dong Wang, Mengyang Feng, Huchuan Lu. [Paper]

    • Triplet Loss in Siamese Network for Object Tracking. ECCV, 2018.
      Xingping Dong, Jianbing Shen. [Paper]

    • Real-time 'Actor-Critic' Tracking. ECCV, 2018.
      Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu. [Paper]

    • Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking. ECCV, 2018.
      Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo. [Paper]

    • Visual Tracking via Spatially Aligned Correlation Filters Network. ECCV, 2018.
      Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank. [Paper]

    • Deep Reinforcement Learning with Iterative Shift for Visual Tracking. ECCV, 2018.
      Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou. [Paper]

    • Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. ECCV, 2018.
      Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang. [Paper]

    • Long-term Tracking in the Wild: a Benchmark. ECCV, 2018.
      Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves. [Paper]

    • Deep Regression Tracking with Shrinkage Loss. ECCV, 2018.
      Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang. [Paper]

    • Unveiling the Power of Deep Tracking. ECCV, 2018.
      Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

  • 2017:

    • Context-Aware Correlation Filter Tracking. CVPR, 2017.
      Matthias Mueller, Neil Smith, Bernard Ghanem. [Paper]

    • Superpixel-Based Tracking-By-Segmentation Using Markov Chains. CVPR, 2017.
      Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han. [Paper]

    • Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning. CVPR, 2017.
      Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. [Paper]

    • End-To-End Representation Learning for Correlation Filter Based Tracking. CVPR, 2017.
      Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr. [Paper]

    • Large Margin Object Tracking With Circulant Feature Maps. CVPR, 2017.
      Mengmeng Wang, Yong Liu, Zeyi Huang. [Paper]

    • Multi-Task Correlation Particle Filter for Robust Object Tracking. CVPR, 2017.
      Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. [Paper]

    • Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR, 2017.
      Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi. [Paper]

    • Robust Visual Tracking Using Oblique Random Forests. CVPR, 2017.
      Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin. [Paper]

    • Tracking by Natural Language Specification. CVPR, 2017.
      Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders. [Paper]

    • ECO: Efficient Convolution Operators for Tracking. CVPR, 2017.
      Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

    • Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
      Chen Huang, Simon Lucey, Deva Ramanan. [Paper]

    • Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning. ICCV, 2017.
      James Supancic,III, Deva Ramanan. [Paper]

    • Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. ICCV, 2017.
      Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey. [Paper]

    • Learning Background-Aware Correlation Filters for Visual Tracking. ICCV, 2017.
      Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. [Paper]

    • Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV, 2017.
      Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin. [Paper]

    • Learning Dynamic Siamese Network for Visual Object Tracking. ICCV, 2017.
      Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang. [Paper]

    • CREST: Convolutional Residual Learning for Visual Tracking. ICCV, 2017.
      Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang. [Paper]

    • Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking. ICCV, 2017.
      Luka Cehovin Zajc, Alan Lukezic, Ales Leonardis, Matej Kristan. [Paper]

    • Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. ICCV, 2017.
      Heng Fan, Haibin Ling. [Paper]

    • Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets. ICCV, 2017.
      Xin Sun, Ngai-Man Cheung, Hongxun Yao, Yiluan Guo. [Paper]

    • Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
      Chen Huang, Simon Lucey, Deva Ramanan. [Paper]

  • 2016:

    • Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals. CVPR, 2016.
      Gao Zhu, Fatih Porikli, Hongdong Li. [Paper]

    • STCT: Sequentially Training Convolutional Networks for Visual Tracking. CVPR, 2016.
      Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [Paper]

    • Staple: Complementary Learners for Real-Time Tracking. CVPR, 2016.
      Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr. [Paper]

    • Siamese Instance Search for Tracking. CVPR, 2016.
      Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. [Paper]

    • Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
      Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

    • Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
      Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

    • Recurrently Target-Attending Tracking. CVPR, 2016.
      Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. [Paper]

    • In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR, 2016.
      Tianzhu Zhang, Adel Bibi, Bernard Ghanem. [Paper]

    • Object Tracking via Dual Linear Structured SVM and Explicit Feature Map. CVPR, 2016.
      Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang. [Paper]

    • Learning Multi-Domain Convolutional Neural Networks for Visual Tracking. CVPR, 2016.
      Hyeonseob Nam, Bohyung Han. [Paper]

    • Hedged Deep Tracking. CVPR, 2016.
      Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. [Paper]

    • Target Response Adaptation for Correlation Filter Tracking. ECCV, 2016.
      Adel Bibi, Matthias Mueller, Bernard Ghanem.

    • Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV, 2016.
      Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg.

    • Structural Correlation Filter for Robust Visual Tracking. CVPR, 2016.
      Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu. [Paper]

    • Visual Tracking Using Attention-Modulated Disintegration and Integration. CVPR, 2016.
      Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [Paper]

    • A Benchmark and Simulator for UAV Tracking. ECCV, 2016.
      Matthias Mueller, Bernard Ghanem, Neil Smith.

    • Distractor-supported single target tracking in extremely cluttered scenes. ECCV, 2016.
      Jingjing Xiao, Linbo Qiao, Rustam Stolkin, leš Leonardis.

    • Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV, 2016.
      Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang.

  • 2015:

    • Structural Sparse Tracking. CVPR, 2015.
      Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang. [Paper]

    • Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches. CVPR, 2015.
      Yang Li, Jianke Zhu, Steven C.H. Hoi. [Paper]

    • MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking. CVPR, 2015.
      Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. [Paper]

    • In Defense of Color-Based Model-Free Tracking. CVPR, 2015.
      Horst Possegger, Thomas Mauthner, Horst Bischof. [Paper]

    • JOTS: Joint Online Tracking and Segmentation. CVPR, 2015.
      Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang. [Paper]

    • Clustering of Static-Adaptive Correspondences for Deformable Object Tracking. CVPR, 2015.
      Georg Nebehay, Roman Pflugfelder. [Paper]

    • Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters. CVPR, 2015.
      Ting Liu, Gang Wang, Qingxiong Yang. [Paper]

    • Multihypothesis Trajectory Analysis for Robust Visual Tracking. CVPR, 2015.
      Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper]

    • Long-Term Correlation Tracking. CVPR, 2015.
      Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. [Paper]

    • Discriminative Low-Rank Tracking. ICCV, 2015.
      Yao Sui, Yafei Tang, Li Zhang. [Paper]

    • SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking. ICCV, 2015.
      Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper]

    • Multi-Kernel Correlation Filter for Visual Tracking. ICCV, 2015.
      Ming Tang, Jiayi Feng. [Paper]

    • Tracking-by-Segmentation With Online Gradient Boosting Decision Tree. ICCV, 2015.
      Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han. [Paper]

    • Exploring Causal Relationships in Visual Object Tracking. ICCV, 2015.
      Karel Lebeda, Simon Hadfield, Richard Bowden. [Paper]

    • Hierarchical Convolutional Features for Visual Tracking. ICCV, 2015.
      Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang. [Paper]

    • Online Object Tracking With Proposal Selection. ICCV, 2015.
      Yang Hua, Karteek Alahari, Cordelia Schmid. [Paper]

    • Understanding and Diagnosing Visual Tracking Systems. ICCV, 2015.
      Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia. [Paper]

    • Visual Tracking With Fully Convolutional Networks. ICCV, 2015.
      Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [Paper]

    • Multiple Feature Fusion via Weighted Entropy for Visual Tracking. ICCV, 2015.
      Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou. [Paper]

    • Local Subspace Collaborative Tracking. ICCV, 2015.
      Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou. [Paper]

    • Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV, 2015.
      Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [Paper]

    • TRIC-track: Tracking by Regression With Incrementally Learned Cascades. ICCV, 2015.
      Xiaomeng Wang, Michel Valstar, Brais Martinez, Muhammad Haris Khan, Tony Pridmore. [Paper]

    • Linearization to Nonlinear Learning for Visual Tracking. ICCV, 2015.
      Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli. [Paper]

  • 2014:

    • Adaptive Color Attributes for Real-Time Visual Tracking. CVPR, 2014.
      Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer. [Paper[

    • Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation. CVPR, 2014.
      Xiangyuan Lan, Andy J. Ma, Pong C. Yuen. [Paper]

    • Multi-Forest Tracker: A Chameleon in Tracking. CVPR, 2014.
      David J. Tan, Slobodan Ilic. [Paper]

    • Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform. CVPR, 2014.
      Zhe Zhang, Kin Hong Wong. [Paper]

    • Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR, 2014.
      Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja. [Paper]

    • Speeding Up Tracking by Ignoring Features. CVPR, 2014.
      Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten. [Paper]

    • Online Object Tracking, Learning and Parsing with And-Or Graphs. CVPR, 2014.
      Yang Lu, Tianfu Wu, Song Chun Zhu. [Paper]

    • Visual Tracking via Probability Continuous Outlier Model. CVPR, 2014.
      Dong Wang, Huchuan Lu. [Paper]

    • Visual Tracking Using Pertinent Patch Selection and Masking. CVPR, 2014.
      Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [Paper]

    • Interval Tracker: Tracking by Interval Analysis. CVPR, 2014.
      Junseok Kwon, Kyoung Mu Lee. [Paper]

    • Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking. CVPR, 2014.
      Nan Jiang, Ying Wu. [Paper]

    • Visual Tracking by Sampling Tree-Structured Graphical Models. ECCV, 2014.
      Seunghoon Hong, Bohyung Han.

    • Description-Discrimination Collaborative Tracking. ECCV, 2014.
      Dapeng Chen, Zejian Yuan,Gang Hua, Yang Wu, Nanning Zheng.

    • Online, Real-Time Tracking using a Category-to-Individual Detector. ECCV, 2014.
      David Hall, Pietro Perona.

    • Robust Visual Tracking with Double Bounding Box Model. ECCV, 2014.
      Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool.

    • Transfer Learning Based Visual Tracking with Gaussian Process Regression. ECCV, 2014.
      Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing.

    • Online Graph-Based Tracking. ECCV, 2014.
      Hyeonseob Nam , Seunghoon Hong, Bohyung Han.

    • Fast Visual Tracking via Dense Spatio-Temporal Context Learning. ECCV, 2014.
      Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang.

    • Extended Lucas-Kanade Tracking. ECCV, 2014.
      Shaul Oron, Aharon Bar-Hillel, Shai Avidan.

    • Appearances can be deceiving: Learning visual tracking from few trajectory annotations. ECCV, 2014.
      Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool.

    • Tracking using Multilevel Quantizations. ECCV, 2014.
      Zhibin Hong, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao.

    • Occlusing and Motion Reasoning for Long-term Tracking. ECCV, 2014.
      Yang Hua, Karteek Alahari, Cordelia Schmid.

    • MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. ECCV, 2014.
      Jianming Zhang, Shugao Ma, Stan Sclaroff.

    • A Superior Tracking Approach: Building a strong Tracker through Fusion. ECCV, 2014.
      Christian Bailer, Alain Pagani, Didier Stricker.

  • 2013:

    • Visual Tracking via Locality Sensitive Histograms. CVPR, 2013.
      Shengfeng He, Qingxiong Yang, Rynson W.H. Lau, Jiang Wang, Ming-Hsuan Yang.

    • Online Object Tracking: A Benchmark. CVPR, 2013.
      Yi Wu, Jongwoo Lim, Ming-Hsuan Yang.

    • Learning Compact Binary Codes for Visual Tracking. CVPR, 2013.
      Xi Li, Chunhua Shen, Anthony Dick, Anton van den Hengel.

    • Least Soft-Threshold Squares Tracking. CVPR, 2013.
      Dong Wang, Huchuan Lu, Ming-Hsuan Yang.

    • Part-Based Visual Tracking with Online Latent Structural Learning. CVPR, 2013.
      Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel.

    • Minimum Uncertainty Gap for Robust Visual Tracking. CVPR, 2013.
      Junseok Kwon, Kyoung Mu Lee.

    • Structure Preserving Object Tracking. CVPR, 2013.
      Lu Zhang, Laurens van der Maaten.

    • Self-Paced Learning for Long-Term Tracking. CVPR, 2013.
      James S. Supancic III, Deva Ramanan.

    • Tracking via Robust Multi-task Multi-view Joint Sparse Representation. ICCV, 2013.
      Zhibin Hong, Xue Mei, Danil Prokhorov, Dacheng Tao.

    • Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV, 2013.
      Naiyan Wang, Jingdong Wang, Dit-Yan Yeung.

    • Robust Object Tracking with Online Multi-lifespan Dictionary Learning. ICCV, 2013.
      Junliang Xing, Jin Gao, Bing Li, Weiming Hu, Shuicheng Yan.

    • Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms. ICCV, 2013.
      Yu Pang, Haibin Ling.

    • PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects. ICCV, 2013.
      Stefan Duffner, Christophe Garcia.

    • Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement.ICCV, 2013.
      Jin Gao, Junliang Xing, Weiming Hu, Steve Maybank.

    • Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV, 2013.
      Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi.

    • Randomized Ensemble Tracking. ICCV, 2013.
      Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier.

    • Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines. ICCV, 2013.
      Shuran Song, Jianxiong Xiao.

    • Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking. ICCV, 2013.
      Yanchao Yang, Ganesh Sundaramoorthi.

    • Orderless Tracking through Model-Averaged Posterior Estimation. ICCV, 2013.
      Seunghoon Hong, Suha Kwak, Bohyung Han.

  • Before 2013:

  • Survey & Book:

    • Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends. ACM CS, 2019.
      Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung.

    • Online Visual Tracking. Springer, 2019.
      Huchuan Lu, Dong Wang.

    • Deep Visual Tracking: Review and Experimental Comparison. PR, 2018.
      Peixia Li, Dong Wang, Lijun Wang, Huchuan Lu.

    • Visual Tracking: An Experimental Survey. IEEE TPAMI, 2014.
      Arnold W. M. Smeulders, Dung Manh Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah.

    • A Survey of Appearance Models in Visual Object Tracking. ACM TIST, 2013.
      Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel.

    • Object Tracking: A Survey. ACM CS, 2006.
      Alper Yilmaz, Omar Javed, Mubarak Shah.

  • Resources:

  • Online Reports[Chinese]: