{"id":13440948,"url":"https://github.com/foolwood/benchmark_results","last_synced_at":"2026-01-26T12:34:31.133Z","repository":{"id":39997493,"uuid":"65869182","full_name":"foolwood/benchmark_results","owner":"foolwood","description":"Visual Tracking Paper List","archived":false,"fork":false,"pushed_at":"2020-07-20T10:44:32.000Z","size":14521,"stargazers_count":3934,"open_issues_count":17,"forks_count":1049,"subscribers_count":350,"default_branch":"master","last_synced_at":"2025-01-28T15:49:30.229Z","etag":null,"topics":["benchmark","deep-learning","paper","tracking","visual-tracking"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/foolwood.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-08-17T02:23:51.000Z","updated_at":"2025-01-19T14:50:09.000Z","dependencies_parsed_at":"2022-08-09T15:48:22.652Z","dependency_job_id":null,"html_url":"https://github.com/foolwood/benchmark_results","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/foolwood%2Fbenchmark_results","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/foolwood%2Fbenchmark_results/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/foolwood%2Fbenchmark_results/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/foolwood%2Fbenchmark_results/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/foolwood","download_url":"https://codeload.github.com/foolwood/benchmark_results/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245079461,"owners_count":20557478,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["benchmark","deep-learning","paper","tracking","visual-tracking"],"created_at":"2024-07-31T03:01:28.192Z","updated_at":"2026-01-26T12:34:26.098Z","avatar_url":"https://github.com/foolwood.png","language":null,"funding_links":[],"categories":["Dataset","Others","CV","Uncategorized","Computer version"],"sub_categories":["Object Tracking  Dataset","Uncategorized"],"readme":"# Visual Tracking Paper List\n\n![recent_develop](./img/recent_Tracker_development.png)\n\n## Papers\n\n### :star2: Recommendations :star2:\n\n- Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.\u003cbr /\u003e\n  \"Know Your Surroundings: Exploiting Scene Information for Object Tracking.\" Arxiv (2020).\n  [[paper](https://arxiv.org/pdf/2003.11014v1.pdf)] \n\n\n### CVPR2020\n\n* **MAML:** Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng.\u003cbr /\u003e\n  \"Tracking by Instance Detection: A Meta-Learning Approach.\" CVPR (2020 **Oral**).\n  [[paper](https://arxiv.org/pdf/2004.00830v1.pdf)]\n\n* **Siam R-CNN:** Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe.\u003cbr /\u003e\n  \"Siam R-CNN: Visual Tracking by Re-Detection.\" CVPR (2020).\n  [[paper](https://arxiv.org/pdf/1911.12836.pdf)] \n  [[code](https://www.vision.rwth-aachen.de/page/siamrcnn)]\n\n* **D3S:** Alan Lukežič, Jiří Matas, Matej Kristan.\u003cbr /\u003e\n  \"D3S – A Discriminative Single Shot Segmentation Tracker.\" CVPR (2020).\n  [[paper](http://arxiv.org/pdf/1911.08862v2.pdf)]\n  [[code](https://github.com/alanlukezic/d3s)]\n\n* **PrDiMP:** Martin Danelljan, Luc Van Gool, Radu Timofte.\u003cbr /\u003e\n  \"Probabilistic Regression for Visual Tracking.\" CVPR (2020).\n  [[paper](https://arxiv.org/pdf/2003.12565v1.pdf)]\n  [[code](https://github.com/visionml/pytracking)]\n\n* **ROAM:** Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan.\u003cbr /\u003e\n  \"ROAM: Recurrently Optimizing Tracking Model.\" CVPR (2020).\n  [[paper](https://arxiv.org/pdf/1907.12006v3.pdf)]\n\n* **AutoTrack:** Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu.\u003cbr /\u003e\n  \"AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization.\" CVPR (2020).\n  [[paper](https://arxiv.org/pdf/2003.12949.pdf)]\n  [[code](https://github.com/vision4robotics/AutoTrack)]\n\n* **SiamBAN:** Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji.\u003cbr /\u003e\n  \"Siamese Box Adaptive Network for Visual Tracking.\" CVPR (2020).\n  [[paper](http://arxiv.org/pdf/1911.08862v2.pdf)]\n  [[code](https://github.com/hqucv/siamban)]\n\n* **SiamAttn:** Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. \u003cbr /\u003e\n  \"Deformable Siamese Attention Networks for Visual Object Tracking.\" CVPR (2020).\n  [[paper](https://arxiv.org/pdf/2004.06711v1.pdf)]\n\n* **CGACD:** Fei Du, Peng Liu, Wei Zhao, Xianglong Tang.\u003cbr /\u003e\n  \"Correlation-Guided Attention for Corner Detection Based Visual Tracking.\" CVPR (2020).\n\n\n### AAAI 2020\n\n- **SiamFC++:** Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu. \u003cbr /\u003e\n  \"SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines.\" AAAI (2020).\n  [[paper](https://arxiv.org/pdf/1911.06188v4.pdf)]\n  [[code](https://github.com/MegviiDetection/video_analyst)]\n\n\n### ICCV2019\n\n* **DiMP:** Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.\u003cbr /\u003e\n  \"Learning Discriminative Model Prediction for Tracking.\" ICCV (2019 **oral**). \n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/visionml/pytracking)]\n\n* **GradNet:** Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu. \u003cbr /\u003e\n  \"GradNet: Gradient-Guided Network for Visual Object Tracking.\" ICCV (2019 **oral**).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/LPXTT/GradNet-Tensorflow)]\n\n* **MLT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. \u003cbr /\u003e\n  \"Deep Meta Learning for Real-Time Target-Aware Visual Tracking.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Deep_Meta_Learning_for_Real-Time_Target-Aware_Visual_Tracking_ICCV_2019_paper.pdf)]\n\n* **SPLT:** Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang \u003cbr /\u003e\n  \"'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Skimming-Perusal_Tracking_A_Framework_for_Real-Time_and_Robust_Long-Term_Tracking_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/iiau-tracker/SPLT)]\n\n* **ARCF:** Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu. \u003cbr /\u003e\n  \"Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Learning_Aberrance_Repressed_Correlation_Filters_for_Real-Time_UAV_Tracking_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/vision4robotics/ARCF-tracker)]\n\n* Lianghua Huang, Xin Zhao, Kaiqi Huang. \u003cbr /\u003e\n  \"Bridging the Gap Between Detection and Tracking: A Unified Approach.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Bridging_the_Gap_Between_Detection_and_Tracking_A_Unified_Approach_ICCV_2019_paper.pdf)]\n\n* **UpdateNet:** Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan. \u003cbr /\u003e\n  \"Learning the Model Update for Siamese Trackers.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_Learning_the_Model_Update_for_Siamese_Trackers_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/zhanglichao/updatenet)]\n\n* **PAT:** Rey Reza Wiyatno, Anqi Xu. \u003cbr /\u003e\n  \"Physical Adversarial Textures That Fool Visual Object Tracking.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wiyatno_Physical_Adversarial_Textures_That_Fool_Visual_Object_Tracking_ICCV_2019_paper.pdf)]\n\n* **GFS-DCF:** Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. \u003cbr /\u003e\n  \"Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Xu_Joint_Group_Feature_Selection_and_Discriminative_Filter_Learning_for_Robust_ICCV_2019_paper.pdf)]\n  [[code](https://github.com/XU-TIANYANG/GFS-DCF)]\n\n* **CDTB:** Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan. \u003cbr /\u003e\n\n  \"CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark.\" ICCV (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Lukezic_CDTB_A_Color_and_Depth_Visual_Object_Tracking_Dataset_and_ICCV_2019_paper.pdf)]\n\n* **VOT2019:** Kristan, Matej, et al.\u003cbr /\u003e\n  \"The Seventh Visual Object Tracking VOT2019 Challenge Results.\" ICCV workshops (2019).\n  [[paper](http://openaccess.thecvf.com/content_ICCVW_2019/papers/VOT/Kristan_The_Seventh_Visual_Object_Tracking_VOT2019_Challenge_Results_ICCVW_2019_paper.pdf)]\n\n\n### CVPR2019\n\n* **SiamMask:** Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr.\u003cbr /\u003e\n  \"Fast Online Object Tracking and Segmentation: A Unifying Approach.\" CVPR (2019). \n  [[paper](https://arxiv.org/pdf/1812.05050.pdf)]\n  [[project](http://www.robots.ox.ac.uk/~qwang/SiamMask/)]\n  [[code](https://github.com/foolwood/SiamMask)]\n\n* **SiamRPN++:** Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan.\u003cbr /\u003e\n  \"SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks.\" CVPR (2019 **oral**). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)]\n  [[project](http://bo-li.info/SiamRPN++/)]\n\n* **ATOM:** Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. \u003cbr /\u003e\n  \"ATOM: Accurate Tracking by Overlap Maximization.\" CVPR (2019 **oral**). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf)]\n  [[code](https://github.com/visionml/pytracking)]\n\n* **SiamDW:** Zhipeng Zhang, Houwen Peng.\u003cbr /\u003e\n  \"Deeper and Wider Siamese Networks for Real-Time Visual Tracking.\" CVPR (2019 **oral**). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)]\n  [[code](https://github.com/researchmm/SiamDW)]\n\n* **GCT:** Junyu Gao, Tianzhu Zhang, Changsheng Xu.\u003cbr /\u003e\n  \"Graph Convolutional Tracking.\" CVPR (2019 **oral**).\n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.pdf)]\n  [[code](https://github.com/researchmm/SiamDW)]\n\n* **ASRCF:** Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. \u003cbr /\u003e\n  \"Visual Tracking via Adaptive Spatially-Regularized Correlation Filters.\" CVPR (2019 **oral**).\n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.pdf)]\n  [[code](https://github.com/Daikenan/ASRCF)]\n\n* **UDT:** Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li.\u003cbr /\u003e\n  \"Unsupervised Deep Tracking.\" CVPR (2019). \n  [[paper](https://arxiv.org/pdf/1904.01828.pdf)]\n  [[code](https://github.com/594422814/UDT)]\n\n* **TADT:** Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang.\u003cbr /\u003e\n  \"Target-Aware Deep Tracking.\" CVPR (2019). \n  [[paper](https://arxiv.org/pdf/1904.01772.pdf)]\n  [[project](https://xinli-zn.github.io/TADT-project-page/)]\n  [[code](https://github.com/XinLi-zn/TADT)]\n\n* **C-RPN:** Heng Fan, Haibin Ling.\u003cbr /\u003e\n  \"Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking.\" CVPR (2019). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)]\n\n* **SPM:** Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng.\u003cbr /\u003e\n  \"SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking.\" CVPR (2019). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.pdf)]\n\n* **OTR:** Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. \u003cbr /\u003e\n  \"Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters.\" CVPR (2019). \n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf)]\n  [[code](https://github.com/ugurkart/OTR)]\n\n* **RPCF:** Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He. \u003cbr /\u003e\n  \"ROI Pooled Correlation Filters for Visual Tracking.\" CVPR (2019).\n  [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.pdf)]\n\n* **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling.\u003cbr /\u003e\n  \"LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking.\" CVPR (2019). \n  [[paper](https://arxiv.org/pdf/1809.07845.pdf)]\n  [[project](https://cis.temple.edu/lasot/)]\n\n### AAAI2019\n\n* **LDES:** Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu.\u003cbr /\u003e\n  \"Robust Estimation of Similarity Transformation for Visual Object Tracking.\" AAAI (2019). \n  [[paper](https://arxiv.org/pdf/1712.05231.pdf)]\n  [[code](https://github.com/ihpdep/LDES)] \n\n### NIPS2018\n\n* **DAT:** Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang.\u003cbr /\u003e\n  \"Deep Attentive Tracking via Reciprocative Learning.\" NIPS (2018). \n  [[paper](https://arxiv.org/pdf/1810.03851.pdf)] \n  [[project](https://ybsong00.github.io/nips18_tracking/index)] \n  [[code](https://github.com/shipubupt/NIPS2018)] \n\n### ECCV2018\n\n* **UPDT:** Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg.\u003cbr /\u003e\n  \"Unveiling the Power of Deep Tracking.\" ECCV (2018). \n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Goutam_Bhat_Unveiling_the_Power_ECCV_2018_paper.pdf)]  \n\n* **DaSiamRPN:** Zheng Zhu, Qiang Wang, Bo Li, Wu Wei, Junjie Yan, Weiming Hu.\u003cbr /\u003e\n  \"Distractor-aware Siamese Networks for Visual Object Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Zheng_Zhu_Distractor-aware_Siamese_Networks_ECCV_2018_paper.pdf)]\n  [[github](https://github.com/foolwood/DaSiamRPN)]\n\n* **SACF:** Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank.\u003cbr /\u003e\n  \"Visual Tracking via Spatially Aligned Correlation Filters Network.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/mengdan_zhang_Visual_Tracking_via_ECCV_2018_paper.pdf)]\n\n* **RTINet:** Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo.\u003cbr /\u003e\n  \"Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yingjie_Yao_Joint_Representation_and_ECCV_2018_paper.pdf)]\n\n* **Meta-Tracker:** Eunbyung Park, Alexander C. Berg.\u003cbr /\u003e\n  \"Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers.\"\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Eunbyung_Park_Meta-Tracker_Fast_and_ECCV_2018_paper.pdf)]\n  [[github](https://github.com/silverbottlep/meta_trackers)]\n\n* **DSLT:** Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang.\u003cbr /\u003e\n  \"Deep Regression Tracking with Shrinkage Loss.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiankai_Lu_Deep_Regression_Tracking_ECCV_2018_paper.pdf)]\n  [[github](https://github.com/chaoma99/DSLT)]\n\n* **DRL-IS:** Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou.\u003cbr /\u003e\n  \"Deep Reinforcement Learning with Iterative Shift for Visual Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Liangliang_Ren_Deep_Reinforcement_Learning_ECCV_2018_paper.pdf)]\n\n* **RT-MDNet:** Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han.\u003cbr /\u003e\n  \"Real-Time MDNet.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Ilchae_Jung_Real-Time_MDNet_ECCV_2018_paper.pdf)]\n\n* **ACT:** Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu.\u003cbr /\u003e\n  \"Real-time 'Actor-Critic' Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Boyu_Chen_Real-time_Actor-Critic_Tracking_ECCV_2018_paper.pdf)]\n  [[github](https://github.com/bychen515/ACT)]\n\n* **StructSiam:** Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi.\u003cbr /\u003e\n  \"Structured Siamese Network for Real-Time Visual Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua_Zhang_Structured_Siamese_Network_ECCV_2018_paper.pdf)]\n\n* **MemTrack:** Tianyu Yang, Antoni B. Chan.\u003cbr /\u003e\n  \"Learning Dynamic Memory Networks for Object Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Tianyu_Yang_Learning_Dynamic_Memory_ECCV_2018_paper.pdf)]\n\n* **SiamFC-tri:** Xingping Dong, Jianbing Shen.\u003cbr /\u003e\n  \"Triplet Loss in Siamese Network for Object Tracking.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xingping_Dong_Triplet_Loss_with_ECCV_2018_paper.pdf)]\n  [[github](https://github.com/shenjianbing/TripletTracking)]\n\n* **OxUvA long-term dataset+benchmark:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.\u003cbr /\u003e\n  \"Long-term Tracking in the Wild: a Benchmark.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Efstratios_Gavves_Long-term_Tracking_in_ECCV_2018_paper.pdf)]\n  [[project](https://oxuva.github.io/long-term-tracking-benchmark/)]\n\n* **TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.\u003cbr /\u003e\n  \"TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.\" ECCV (2018).\n  [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Matthias_Muller_TrackingNet_A_Large-Scale_ECCV_2018_paper.pdf)] \n  [[project](http://tracking-net.org/)]\n\n\n### CVPR2018\n\n* **VITAL:** Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang.\n  \"VITAL: VIsual Tracking via Adversarial Learning.\" CVPR (2018 **Spotlight**). \n  [[project](https://ybsong00.github.io/cvpr18_tracking/index)]\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf)]\n  [[github](https://github.com/ybsong00/Vital_release)]\n\n* **LSART:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang.\n  \"Learning Spatial-Aware Regressions for Visual Tracking.\" CVPR (2018 **Spotlight**). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.pdf)]\n\n* **SiamRPN:** Bo Li, Wei Wu, Zheng Zhu, Junjie Yan.\n  \"High Performance Visual Tracking with Siamese Region Proposal Network.\" CVPR (2018 **Spotlight**). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf)]\n\n* **TRACA:** Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi.\n  \"Context-aware Deep Feature Compression for High-speed Visual Tracking.\" CVPR (2018). \n  [[project](https://sites.google.com/site/jwchoivision/)]\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.pdf)]\n\n* **RASNet:** Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank.\n  \"Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking.\" CVPR 2018. \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf)]\n\n* **SA-Siam:** Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng.\n  \"A Twofold Siamese Network for Real-Time Object Tracking.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_A_Twofold_Siamese_CVPR_2018_paper.pdf)]\n\n* **STRCF:** Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang.\n  \"Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf)]\n  [[github](https://github.com/lifeng9472/STRCF)]\n\n* **FlowTrack:** Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan.\n  \"End-to-end Flow Correlation Tracking with Spatial-temporal Attention.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.pdf)]\n\n* **DEDT:** Kourosh Meshgi, Shigeyuki Oba, Shin Ishii.\n  \"Efficient Diverse Ensemble for Discriminative Co-Tracking.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Meshgi_Efficient_Diverse_Ensemble_CVPR_2018_paper.pdf)]\n\n* **SINT++:** Xiao Wang, Chenglong Li, Bin Luo, Jin Tang.\n  \"SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation.\" CVPR (2018).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf)]\n\n* **DRT:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang.\n  \"Correlation Tracking via Joint Discrimination and Reliability Learning.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Correlation_Tracking_via_CVPR_2018_paper.pdf)]\n\n* **MCCT:** Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li.\n  \"Multi-Cue Correlation Filters for Robust Visual Tracking.\" CVPR (2018). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.pdf)]\n  [[github](https://github.com/594422814/MCCT)]\n\n* **MKCF:** Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang.\n  \"High-speed Tracking with Multi-kernel Correlation Filters.\" CVPR (2018).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_High-Speed_Tracking_With_CVPR_2018_paper.pdf)]\n\n* **HP:** Xingping Dong, Jianbing Shen, Wenguan Wang, Yu, Liu, Ling Shao, and Fatih Porikli.\n  \"Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning.\" CVPR (2018).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.pdf)]\n\n\n### NIPS2017\n\n* **HART:** Adam R. Kosiorek, Alex Bewley, Ingmar Posner. \n  \"Hierarchical Attentive Recurrent Tracking.\" NIPS (2017). \n  [[paper](https://papers.nips.cc/paper/6898-hierarchical-attentive-recurrent-tracking.pdf)]\n  [[github](https://github.com/akosiorek/hart)]\n\n\n### ICCV2017\n\n* **CREST:** Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, Ming-Hsuan Yang. \n  \"CREST: Convolutional Residual Learning for Visual Tracking.\" ICCV (2017 **Spotlight**). \n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Song_CREST_Convolutional_Residual_ICCV_2017_paper.pdf)]\n  [[project](http://www.cs.cityu.edu.hk/~yibisong/iccv17/index.html)]\n  [[github](https://github.com/ybsong00/CREST-Release)]\n\n* **EAST:** Chen Huang, Simon Lucey, Deva Ramanan.\n  \"Learning Policies for Adaptive Tracking with Deep Feature Cascades.\" ICCV (2017 **Spotlight**). \n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Learning_Policies_for_ICCV_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Huang_Learning_Policies_for_ICCV_2017_supplemental.zip)]\n\n* **PTAV:** Heng Fan and Haibin Ling. \n  \"Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking.\" ICCV (2017). \n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Fan_Parallel_Tracking_and_ICCV_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Fan_Parallel_Tracking_and_ICCV_2017_supplemental.pdf)]\n  [[project](http://www.dabi.temple.edu/~hbling/code/PTAV/ptav.htm)]\n  [[code](http://www.dabi.temple.edu/~hbling/code/PTAV/serial_ptav_v1.zip)]\n\n* **BACF:** Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. \n  \"Learning Background-Aware Correlation Filters for Visual Tracking.\" ICCV (2017). \n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_supplemental.pdf)]\n  [[code](http://www.hamedkiani.com/uploads/5/1/8/8/51882963/bacf_toupload.zip)]\n  [[project](http://www.hamedkiani.com/bacf.html)]\n\n* **TSN:** Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng and Yi Jin.\n  \"Robust Object Tracking based on Temporal and Spatial Deep Networks.\" ICCV (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Teng_Robust_Object_Tracking_ICCV_2017_paper.pdf)]\n\n* **p-tracker:** James Supančič, III; Deva Ramanan.\n  \"Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning.\" ICCV (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Supancic_Tracking_as_Online_ICCV_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Supancic_Tracking_as_Online_ICCV_2017_supplemental.pdf)]\n\n* **DSiam:** Qing Guo; Wei Feng; Ce Zhou; Rui Huang; Liang Wan; Song Wang.\n  \"Learning Dynamic Siamese Network for Visual Object Tracking.\" ICCV (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Guo_Learning_Dynamic_Siamese_ICCV_2017_paper.pdf)]\n  [[github](https://github.com/tsingqguo/DSiam)]\n\n* **SP-KCF:** Xin Sun; Ngai-Man Cheung; Hongxun Yao; Yiluan Guo.\n  \"Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets.\" ICCV (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Sun_Non-Rigid_Object_Tracking_ICCV_2017_paper.pdf)]\n\n* **UCT:** Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang.\n  \"UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking.\" ICCV workshop (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Zhu_UCT_Learning_Unified_ICCV_2017_paper.pdf)]\n\n* Tobias Bottger, Patrick Follmann.\n  \"The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations.\" ICCV workshop (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Bottger_The_Benefits_of_ICCV_2017_paper.pdf)]\n\n* **CFWCR:** Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, HongLiang Bai.\n  \"Correlation Filters With Weighted Convolution Responses.\" ICCV workshop (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/He_Correlation_Filters_With_ICCV_2017_paper.pdf)]\n  [[github](https://github.com/he010103/CFWCR)]\n\n* **IBCCF:** Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang.\n  \"Integrating Boundary and Center Correlation Filters for Visual Tracking With Aspect Ratio Variation.\" ICCV workshop (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Li_Integrating_Boundary_and_ICCV_2017_paper.pdf)]\n  [[github](https://github.com/lifeng9472/IBCCF)]\n\n* **RFL:** Tianyu Yang, Antoni B. Chan.\n  \"Recurrent Filter Learning for Visual Tracking.\" ICCV workshop (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Yang_Recurrent_Filter_Learning_ICCV_2017_paper.pdf)]\n\n\n### CVPR2017\n\n* **ECO:** Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. \n  \"ECO: Efficient Convolution Operators for Tracking.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Danelljan_ECO_Efficient_Convolution_2017_CVPR_supplemental.pdf)]\n  [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/ecotrack/index.html)]\n  [[github](https://github.com/martin-danelljan/ECO)]\n\n* **CFNet:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr.\n  \"End-to-end representation learning for Correlation Filter based tracking.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Valmadre_End-To-End_Representation_Learning_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Valmadre_End-To-End_Representation_Learning_2017_CVPR_supplemental.pdf)]\n  [[project](http://www.robots.ox.ac.uk/~luca/cfnet.html)]\n  [[github](https://github.com/bertinetto/cfnet)]\n\n* **CACF:** Matthias Mueller, Neil Smith, Bernard Ghanem. \n  \"Context-Aware Correlation Filter Tracking.\" CVPR (2017 **oral**). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Mueller_Context-Aware_Correlation_Filter_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Mueller_Context-Aware_Correlation_Filter_2017_CVPR_supplemental.zip)]\n  [[project](https://ivul.kaust.edu.sa/Pages/pub-ca-cf-tracking.aspx)]\n  [[code](https://github.com/thias15/Context-Aware-CF-Tracking)]\n\n* **RaF:** Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin\n  \"Robust Visual Tracking Using Oblique Random Forests.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Robust_Visual_Tracking_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Zhang_Robust_Visual_Tracking_2017_CVPR_supplemental.pdf)]\n  [[project](https://sites.google.com/site/zhangleuestc/incremental-oblique-random-forest)]\n  [[code](https://github.com/ZhangLeUestc/Incremental-Oblique-Random-Forest)]\n\n* **MCPF:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. \n  \"Multi-Task Correlation Particle Filter for Robust Object Tracking.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Multi-Task_Correlation_Particle_CVPR_2017_paper.pdf)]\n  [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/mcpf.html)]\n  [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/mcpf.html)]\n\n* **ACFN:** Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi.\n  \"Attentional Correlation Filter Network for Adaptive Visual Tracking.\" CVPR (2017).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Choi_Attentional_Correlation_Filter_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Choi_Attentional_Correlation_Filter_2017_CVPR_supplemental.pdf)]\n  [[project](https://sites.google.com/site/jwchoivision/home/acfn-1)]\n  [[test code](https://drive.google.com/file/d/0B0ZkG8zaRQoLQUswbW9qSWFaU0U/view?usp=drive_web)]\n  [[training code](https://drive.google.com/file/d/0B0ZkG8zaRQoLZVVranBnbHlydnM/view?usp=drive_web)]\n\n* **LMCF:** Mengmeng Wang, Yong Liu, Zeyi Huang. \n  \"Large Margin Object Tracking with Circulant Feature Maps.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Large_Margin_Object_CVPR_2017_paper.pdf)]\n  [[zhihu](https://zhuanlan.zhihu.com/p/25761718)]\n\n* **ADNet:** Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi.\n  \"Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning.\" CVPR (2017 **Spotlight**). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yun_Action-Decision_Networks_for_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Yun_Action-Decision_Networks_for_2017_CVPR_supplemental.pdf)]\n  [[project](https://sites.google.com/view/cvpr2017-adnet)]\n\n* **CSR-DCF:** Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan. \n  \"Discriminative Correlation Filter with Channel and Spatial Reliability.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Lukezic_Discriminative_Correlation_Filter_CVPR_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Lukezic_Discriminative_Correlation_Filter_2017_CVPR_supplemental.pdf)]\n  [[code](https://github.com/alanlukezic/csr-dcf)]\n\n* **BranchOut:** Bohyung Han, Jack Sim, Hartwig Adam.\n  \"BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks.\" CVPR (2017). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Han_BranchOut_Regularization_for_CVPR_2017_paper.pdf)]\n\n* **AMCT:** Donghun Yeo, Jeany Son, Bohyung Han, Joonhee Han.\n  \"Superpixel-based Tracking-by-Segmentation using Markov Chains.\" CVPR (2017).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yeo_Superpixel-Based_Tracking-By-Segmentation_Using_CVPR_2017_paper.pdf)]\n\n* **SANet:** Heng Fan, Haibin Ling. \n  \"SANet: Structure-Aware Network for Visual Tracking.\" CVPRW (2017). \n  [[paper](https://arxiv.org/pdf/1611.06878.pdf)]\n  [[project](http://www.dabi.temple.edu/~hbling/code/SANet/SANet.html)]\n  [[code](http://www.dabi.temple.edu/~hbling/code/SANet/sanet_code.zip)]\n\n### ECCV2016\n\n* **SiameseFC:** Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr. \n  \"Fully-Convolutional Siamese Networks for Object Tracking.\" ECCV workshop (2016). \n  [[paper](http://120.52.73.78/arxiv.org/pdf/1606.09549v2.pdf)]\n  [[project](http://www.robots.ox.ac.uk/~luca/siamese-fc.html)]\n  [[github](https://github.com/bertinetto/siamese-fc)]\n\n* **GOTURN:** David Held, Sebastian Thrun, Silvio Savarese. \n  \"Learning to Track at 100 FPS with Deep Regression Networks.\" ECCV (2016). \n  [[paper](http://davheld.github.io/GOTURN/GOTURN.pdf)]\n  [[project](http://davheld.github.io/GOTURN/GOTURN.html)]\n  [[github](https://github.com/davheld/GOTURN)]\n\n* **C-COT:** Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. \n  \"Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking.\" ECCV (2016). \n  [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/C-COT_ECCV16.pdf)]\n  [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/index.html)]\n  [[github](https://github.com/martin-danelljan/Continuous-ConvOp)]\n\n* **CF+AT:** Adel Bibi, Matthias Mueller, and Bernard Ghanem. \n  \"Target Response Adaptation for Correlation Filter Tracking.\" ECCV (2016). \n  [[paper](http://www.adelbibi.com/papers/ECCV2016/Target_Adap.pdf)]\n  [[project](https://ivul.kaust.edu.sa/Pages/pub-target-response-adaptation.aspx)]\n  [[github](https://github.com/adelbibi/Target-Response-Adaptation-for-Correlation-Filter-Tracking)]\n\n* Yao Sui, Ziming Zhang,  Guanghui Wang, Yafei Tang, Li Zhang. \n  \"Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning.\" ECCV (2016). \n  [[paper](http://120.52.73.78/arxiv.org/pdf/1608.08173.pdf)]\n\n* Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang. \n  \"Tracking Completion.\" ECCV (2016). \n  [[paper](http://120.52.73.78/arxiv.org/pdf/1608.08171v1.pdf)]\n\n### CVPR2016\n\n* **MDNet:** Nam, Hyeonseob, and Bohyung Han. \n  \"Learning Multi-Domain Convolutional Neural Networks for Visual Tracking.\" CVPR (2016).\n  [[paper](http://arxiv.org/pdf/1510.07945v2.pdf)]\n  [[VOT_presentation](http://votchallenge.net/vot2015/download/presentation_Hyeonseob.pdf)]\n  [[project](http://cvlab.postech.ac.kr/research/mdnet/)]\n  [[github](https://github.com/HyeonseobNam/MDNet)]\n\n* **SINT:** Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. \n  \"Siamese Instance Search for Tracking.\" CVPR (2016).\n  [[paper](https://staff.science.uva.nl/r.tao/pub/TaoCVPR2016.pdf)]\n  [[project](https://staff.fnwi.uva.nl/r.tao/projects/SINT/SINT_proj.html)]\n\n* **SCT:** Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi.\n  \"Visual Tracking Using Attention-Modulated Disintegration and Integration.\" CVPR (2016).\n  [[paper](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Choi_Visual_Tracking_Using_CVPR_2016_paper.pdf)]\n  [[project](https://sites.google.com/site/jwchoivision/home/sct)]\n\n* **STCT:** Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu.\n  \"STCT: Sequentially Training Convolutional Networks for Visual Tracking.\" CVPR (2016).\n  [[paper](http://www.ee.cuhk.edu.hk/~wlouyang/Papers/WangLJ_CVPR16.pdf)]\n  [[github](https://github.com/scott89/STCT)]\n\n* **SRDCFdecon:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. \n  \"Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking.\" CVPR (2016).\n  [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/decontrack/AdaptiveDecon_CVPR16.pdf)]\n  [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/decontrack/index.html)]\n\n* **HDT:** Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. \n  \"Hedged Deep Tracking.\" CVPR (2016). \n  [[paper](http://faculty.ucmerced.edu/mhyang/papers/cvpr16_hedge_tracking.pdf)]\n  [[project](https://sites.google.com/site/yuankiqi/hdt/)]\n\n* **Staple:** Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. \n  \"Staple: Complementary Learners for Real-Time Tracking.\" CVPR (2016). \n  [[paper](http://120.52.73.75/arxiv.org/pdf/1512.01355v2.pdf)]\n  [[project](http://www.robots.ox.ac.uk/~luca/staple.html)]\n  [[github](https://github.com/bertinetto/staple)]\n\n* **EBT:** Gao Zhu, Fatih Porikli, and Hongdong Li.\n  \"Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals.\" CVPR (2016). \n  [[paper](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Beyond_Local_Search_CVPR_2016_paper.pdf)]\n  [[exe](http://www.votchallenge.net/vot2016/download/02_EBT.zip)]\n\n* **DLSSVM:** Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang and Ming-Hsuan Yang. \n  \"Object Tracking via Dual Linear Structured SVM and Explicit Feature Map.\" CVPR (2016). \n  [[paper](http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/DLSSVM.pdf)]\n  [[code](http://www4.comp.polyu.edu.hk/~cslzhang/code/DLSSVM_CVPR.zip)]\n  [[project](http://www4.comp.polyu.edu.hk/~cslzhang/DLSSVM/DLSSVM.htm)]\n\n### NIPS2016\n* **Learnet:** Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi. \n  \"Learning feed-forward one-shot learners.\" NIPS (2016). \n  [[paper](https://arxiv.org/pdf/1606.05233v1.pdf)]\n\n### ICCV2015\n\n* **FCNT:** Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. \n  \"Visual Tracking with Fully Convolutional Networks.\" ICCV (2015). \n  [[paper](http://202.118.75.4/lu/Paper/ICCV2015/iccv15_lijun.pdf)]\n  [[project](http://scott89.github.io/FCNT/)]\n  [[github](https://github.com/scott89/FCNT)]\n\n* **SRDCF:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. \n  \"Learning Spatially Regularized Correlation Filters for Visual Tracking.\" ICCV (2015). \n  [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/SRDCF_ICCV15.pdf)]\n  [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/)]\n\n* **CF2:** Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang.\n  \"Hierarchical Convolutional Features for Visual Tracking.\" ICCV (2015)\n  [[paper](http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf)]\n  [[project](https://sites.google.com/site/jbhuang0604/publications/cf2)]\n  [[github](https://github.com/jbhuang0604/CF2)]\n\n* Naiyan Wang, Jianping Shi, Dit-Yan Yeung and Jiaya Jia.\n  \"Understanding and Diagnosing Visual Tracking Systems.\" ICCV (2015). \n  [[paper](http://winsty.net/papers/diagnose.pdf)]\n  [[project](http://winsty.net/tracker_diagnose.html)]\n  [[code](http://winsty.net/diagnose/diagnose_code.zip)]\\\n\n* **DeepSRDCF:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. \n  \"Convolutional Features for Correlation Filter Based Visual Tracking.\" ICCV workshop (2015). \n  [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/ConvDCF_ICCV15_VOTworkshop.pdf)]\n  [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/)]\n\n* **RAJSSC:** Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi, Qiang Wang, Weiming Hu. \n  \"Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation.\" ICCV workshop (2015). \n  [[paper](http://www.cv-foundation.org//openaccess/content_iccv_2015_workshops/w14/papers/Zhang_Joint_Scale-Spatial_Correlation_ICCV_2015_paper.pdf)]\n  [[poster](http://www.votchallenge.net/vot2015/download/poster_Mengdan_Zhang.pdf)]\n\n### CVPR2015\n\n* **MUSTer:** Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. \n  \"MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking.\" CVPR (2015). \n  [[paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Hong_MUlti-Store_Tracker_MUSTer_2015_CVPR_paper.pdf)]\n  [[project](https://sites.google.com/site/multistoretrackermuster/)]\n\n* **LCT:** Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang.\n  \"Long-term Correlation Tracking.\" CVPR (2015).\n  [[paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Ma_Long-Term_Correlation_Tracking_2015_CVPR_paper.pdf)]\n  [[project](https://sites.google.com/site/chaoma99/cvpr15_tracking)]\n  [[github](https://github.com/chaoma99/lct-tracker)]\n\n* **DAT:** Horst Possegger, Thomas Mauthner, and Horst Bischof. \n  \"In Defense of Color-based Model-free Tracking.\" CVPR (2015). \n  [[paper](https://lrs.icg.tugraz.at/pubs/possegger_cvpr15.pdf)]\n  [[project](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/dat)]\n  [[code](https://lrs.icg.tugraz.at/downloads/dat-v1.0.zip)]\n\n* **RPT:** Yang Li, Jianke Zhu and Steven C.H. Hoi. \n  \"Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches.\" CVPR (2015). \n  [[paper](https://github.com/ihpdep/ihpdep.github.io/raw/master/papers/cvpr15_rpt.pdf)]\n  [[github](https://github.com/ihpdep/rpt)]\n\n### ICML2015\n\n* **CNN-SVM:** Seunghoon Hong, Tackgeun You, Suha Kwak and Bohyung Han.\n  \"Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network .\" ICML (2015)\n  [[paper](http://120.52.73.80/arxiv.org/pdf/1502.06796.pdf)]\n  [[project](http://cvlab.postech.ac.kr/research/CNN_SVM/)]\n\n### BMVC2014\n\n* **DSST:** Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. \n  \"Accurate Scale Estimation for Robust Visual Tracking.\" BMVC (2014).\n  [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/ScaleTracking_BMVC14.pdf)]\n  [[PAMI](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/DSST_TPAMI.pdf)]\n  [[project](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/index.html)]\n\n### ECCV2014\n\n* **MEEM:** Jianming Zhang, Shugao Ma, and Stan Sclaroff.\n  \"MEEM: Robust Tracking via Multiple Experts using Entropy Minimization.\" ECCV (2014).\n  [[paper](http://cs-people.bu.edu/jmzhang/MEEM/MEEM-eccv-preprint.pdf)]\n  [[project](http://cs-people.bu.edu/jmzhang/MEEM/MEEM.html)]\n\n* **TGPR:** Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing.\n  \"Transfer Learning Based Visual Tracking with Gaussian Process Regression.\" ECCV (2014).\n  [[paper](http://www.dabi.temple.edu/~hbling/publication/tgpr-eccv14.pdf)]\n  [[project](http://www.dabi.temple.edu/~hbling/code/TGPR.htm)]\n\n* **STC:** Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang.\n  \"Fast Tracking via Spatio-Temporal Context Learning.\" ECCV (2014).\n  [[paper](http://arxiv.org/pdf/1311.1939v1.pdf)]\n  [[project](http://www4.comp.polyu.edu.hk/~cslzhang/STC/STC.htm)]\n\n* **SAMF:** Yang Li, Jianke Zhu.\n  \"A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration.\" ECCV workshop (2014).\n  [[paper](http://link.springer.com/content/pdf/10.1007%2F978-3-319-16181-5_18.pdf)]\n  [[github](https://github.com/ihpdep/samf)]\n\n### NIPS2013\n\n* **DLT:** Naiyan Wang and Dit-Yan Yeung. \n  \"Learning A Deep Compact Image Representation for Visual Tracking.\" NIPS (2013). \n  [[paper](http://winsty.net/papers/dlt.pdf)]\n  [[project](http://winsty.net/dlt.html)]\n  [[code](http://winsty.net/dlt/DLTcode.zip)]\n\n### PAMI \u0026 IJCV \u0026 TIP\n\n* **AOGTracker:** Tianfu Wu , Yang Lu and Song-Chun Zhu. \n  \"Online Object Tracking, Learning and Parsing with And-Or Graphs.\" TPAMI (2017).\n  [[paper](http://www4.ncsu.edu/~twu19/papers/AOGTracker_PAMI.pdf)]\n  [[project](http://www4.ncsu.edu/~twu19/project_posts/AOGTracker/)]\n  [[github](https://github.com/tfwu/RGM-AOGTracker)] \n\n* **MCPF:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang.\n    \" Learning Multi-task Correlation Particle Filters for Visual Tracking.\" TPAMI (2017).\n      [[paper]]\n      [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/lmcpf.html)]\n      [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_mcpf/Source_Code/Source_Code.zip)] \n\n* **RSST:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang.\n  \" Robust Structural Sparse Tracking.\" TPAMI (2017).\n  [[paper]]\n  [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/rsst.html)]\n  [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_RSST/RSSTDeep/RSSTDeep_Code.zip)] \n\n* **fDSST:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg.\n  \"Discriminative Scale Space Tracking.\" TPAMI (2017).\n  [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/DSST_TPAMI.pdf)]\n  [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/index.html)]\n  [[code](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/fDSST_code.zip)] \n\n* **KCF:** João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. \n  \"High-Speed Tracking with Kernelized Correlation Filters.\" TPAMI (2015).\n  [[paper](http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf)]\n  [[project](http://www.robots.ox.ac.uk/~joao/circulant/)]\n\n* **CLRST:** Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem.  \n  \"Robust Visual Tracking Via Consistent Low-Rank Sparse Learning.\" IJCV (2015). \n  [[paper](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/tianzhu%20zhang_files/Journal%20Articles/IJCV15_zhang_Low-Rank%20Sparse%20Learning.pdf)]\n  [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_IJCV14/Robust%20Visual%20Tracking%20Via%20Consistent%20Low-Rank%20Sparse.html)]\n  [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_IJCV14/material/LRT_Code.zip)]\n\n* **DNT:** Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang. \n  \"Dual Deep Network for Visual Tracking.\" TIP (2017). \n  [[paper](https://arxiv.org/pdf/1612.06053v1.pdf)]\n\n* **DRT:** Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu. \n  \"Deep Relative Tracking.\" TIP (2017). \n  [[paper](http://ieeexplore.ieee.org/abstract/document/7828108/)]\n\n* **BIT:** Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao.\n  \"BIT: Biologically Inspired Tracker.\" TIP (2016). \n  [[paper](http://caibolun.github.io/papers/BIT_TIP.pdf)]\n  [[project](http://caibolun.github.io/BIT/index.html)]\n  [[github](https://github.com/caibolun/BIT)]\n\n* **CNT:** Kaihua Zhang, Qingshan Liu, Yi Wu, Minghsuan Yang. \n  \"Robust Visual Tracking via Convolutional Networks Without Training.\" TIP (2016). \n  [[paper](http://kaihuazhang.net/CNT.pdf)]\n  [[code](http://kaihuazhang.net/CNT_matlab.rar)]\n\n## ArXiv\n\n* **MLT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee.\n  \"Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1712.09153v1.pdf)]\n\n* **STECF:** Yang Li, Jianke Zhu, Wenjie Song, Zhefeng Wang, Hantang Liu, Steven C. H. Hoi.\n  \"Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1712.05231v1.pdf)]\n\n* **PAWSS:** Xiaofei Du, Alessio Dore, Danail Stoyanov. \n  \"Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1708.01179v1.pdf)]\n\n* **SFT:** Zhen Cui, You yi Cai, Wen ming Zheng, Jian Yang. \n  \"Spectral Filter Tracking.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1707.05553v1.pdf)]\n\n* **Re3:** Daniel Gordon, Ali Farhadi, Dieter Fox. \n  \"Re3 : Real-Time Recurrent Regression Networks for Object Tracking.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1705.06368.pdf)]\n\n* **DCFNet:** Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu. \n  \"DCFNet: Discriminant Correlation Filters Network for Visual Tracking.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1704.04057.pdf)]\n  [[code](https://github.com/foolwood/DCFNet#dcfnet-discriminant-correlation-filters-network-for-visual-tracking)]\n\n* **TCNN:** Hyeonseob Nam, Mooyeol Baek, Bohyung Han. \n  \"Modeling and Propagating CNNs in a Tree Structure for Visual Tracking.\" arXiv (2016). \n  [[paper](http://arxiv.org/pdf/1608.07242v1.pdf)]\n  [[code](http://www.votchallenge.net/vot2016/download/44_TCNN.zip)]\n\n* **RDT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. \n  \"Visual Tracking by Reinforced Decision Making.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1702.06291.pdf)]\n\n* **MSDAT:** Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen, Fatih Porikli .\n  \"Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1701.00561.pdf)]\n\n* **RLT:** Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang.\n  \"Deep Reinforcement Learning for Visual Object Tracking in Videos.\" arXiv (2017). \n  [[paper](https://arxiv.org/pdf/1701.08936v1.pdf)]\n\n* **SCF:** Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang. \n  \"Learning Support Correlation Filters for Visual Tracking.\" arXiv (2016).\n  [[paper](https://arxiv.org/pdf/1601.06032.pdf)]\n  [[project](http://faculty.ucmerced.edu/mhyang/project/scf/)]\n\n* **CRT:** Kai Chen, Wenbing Tao. \n  \"Convolutional Regression for Visual Tracking.\" arXiv (2016). \n  [[paper](https://arxiv.org/pdf/1611.04215.pdf)]\n\n* **BMR:** Kaihua Zhang, Qingshan Liu, and Ming-Hsuan Yang. \n  \"Visual Tracking via Boolean Map Representations.\" arXiv (2016). \n  [[paper](https://arxiv.org/pdf/1610.09652v1.pdf)]\n\n* **YCNN:** Kai Chen, Wenbing Tao. \n  \"Once for All: a Two-flow Convolutional Neural Network for Visual Tracking.\" arXiv (2016). \n  [[paper](https://arxiv.org/pdf/1604.07507v1.pdf)]\n\n* **ROLO:** Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang. \n  \"Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking.\" arXiv (2016). \n  [[paper](http://arxiv.org/pdf/1607.05781v1.pdf)]\n  [[project](http://guanghan.info/projects/ROLO/)]\n  [[github](https://github.com/Guanghan/ROLO/)]\n\n* **RATM:** Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic. \n  \"RATM: Recurrent Attentive Tracking Model.\" arXiv (2015). \n  [[paper](https://arxiv.org/pdf/1510.08660v4.pdf)]\n  [[github](https://github.com/saebrahimi/RATM)]\n\n* **SO-DLT:** Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung. \n  \"Transferring Rich Feature Hierarchies for Robust Visual Tracking.\" arXiv (2015). \n  [[paper](https://arxiv.org/pdf/1501.04587v2.pdf)]\n  [[code](http://www.votchallenge.net/vot2016/download/08_SO-DLT.zip)]\n\n* **DMSRDCF:** Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. \n  \"Deep Motion Features for Visual Tracking.\" ICPR **Best Paper** (2016). \n  [[paper](https://arxiv.org/pdf/1612.06615v1.pdf)]\n\n\n## Benchmark\n\n* **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling.\n  \"Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space.\" arXiv (2018). \n  [[paper](https://arxiv.org/pdf/1809.07845.pdf)]\n  [[project](https://cis.temple.edu/lasot/)]\n\n* **OxUvA long-term dataset+benchmark:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.\u003cbr /\u003e\n  \"Long-term Tracking in the Wild: a Benchmark.\" ECCV (2018).\n  [[paper](https://arxiv.org/pdf/1803.09502.pdf)]\n  [[project](https://oxuva.github.io/long-term-tracking-benchmark/)]\n\n* **TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.\u003cbr /\u003e\n  \"TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.\" ECCV (2018).\n  [[project](https://silviogiancola.github.io/publication/2018-03-trackingnet/details/)]\n  [[paper](https://arxiv.org/pdf/1803.10794.pdf)] \n\n* **UAVDT:** Dawei Du, Yuankai Qi, Hongyang Yu, Yifang Yang, Kaiwen Duan, GuoRong Li, Weigang Zhang,  Weihai; Qingming Huang, Qi Tian.\u003cbr /\u003e\n  \"The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking.\" ECCV (2018).\n  [[paper](https://arxiv.org/pdf/1804.00518.pdf)]\n\n* **Dataset-AMP:** Luka Čehovin Zajc; Alan Lukežič; Aleš Leonardis; Matej Kristan.\n  \"Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking.\" ICCV (2017).\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zajc_Beyond_Standard_Benchmarks_ICCV_2017_paper.pdf)]\n\n* **Dataset-Nfs:** Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan and Simon Lucey.\n  \"Need for Speed: A Benchmark for Higher Frame Rate Object Tracking.\" ICCV (2017)\n  [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Need_for_Speed_ICCV_2017_paper.pdf)]\n  [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Galoogahi_Need_for_Speed_ICCV_2017_supplemental.pdf)]\n  [[project](http://ci2cv.net/nfs/index.html)]\n\n* **Dataset-DTB70:** Siyi Li, Dit-Yan Yeung.\n  \"Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models.\" AAAI (2017)\n  [[paper](http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14338/14292)]\n  [[project](https://github.com/flyers/drone-tracking)]\n  [[dataset](https://www.dropbox.com/s/s1fj99s2six4lrs/DTB70.tar.gz?dl=0)]\n\n* **Dataset-UAV123:** Matthias Mueller, Neil Smith and Bernard Ghanem.\n  \"A Benchmark and Simulator for UAV Tracking.\" ECCV (2016)\n  [[paper](https://ivul.kaust.edu.sa/Documents/Publications/2016/A%20Benchmark%20and%20Simulator%20for%20UAV%20Tracking.pdf)]\n  [[project](https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx)]\n  [[dataset](https://ivul.kaust.edu.sa/Pages/Dataset-UAV123.aspx)]\n\n* **Dataset-TColor-128:** Pengpeng Liang, Erik Blasch, Haibin Ling.\n  \"Encoding color information for visual tracking: Algorithms and benchmark.\" TIP (2015)\n  [[paper](http://www.dabi.temple.edu/~hbling/publication/TColor-128.pdf)]\n  [[project](http://www.dabi.temple.edu/~hbling/data/TColor-128/TColor-128.html)]\n  [[dataset](http://www.dabi.temple.edu/~hbling/data/TColor-128/Temple-color-128.zip)]\n\n* **Dataset-NUS-PRO:** Annan Li, Min Lin, Yi Wu, Ming-Hsuan Yang, and Shuicheng Yan.\n  \"NUS-PRO: A New Visual Tracking Challenge.\" PAMI (2015)\n  [[paper](http://faculty.ucmerced.edu/mhyang/papers/pami15_nus_pro.pdf)]\n  [[project](https://sites.google.com/site/li00annan/nus-pro)]\n  [[Data_360](https://d9fca6.lc.yunpan.cn/lk/cqKIc6DU3t2eJ)(code:bf28)]\n  [[Data_baidu]](https://pan.baidu.com/s/1pJHvbSn#list/path=%2F)]\n  [[View_360](https://6aa275.lc.yunpan.cn/lk/cqK479PfzDrPX)(code:515a)]\n  [[View_baidu]](https://pan.baidu.com/s/1hqKXcuK)]\n\n* **Dataset-PTB:** Shuran Song and Jianxiong Xiao.\n  \"Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines.\" ICCV (2013)\n  [[paper](http://vision.princeton.edu/projects/2013/tracking/paper.pdf)]\n  [[project](http://tracking.cs.princeton.edu/)]\n  [[5 validation](http://tracking.cs.princeton.edu/ValidationSet.zip)]\n  [[95 evaluation](http://tracking.cs.princeton.edu/EvaluationSet.tgz)]\n\n* **Dataset-ALOV300+:** Arnold W. M. Smeulders, Dung M. Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah.\n  \"Visual Tracking: An Experimental Survey.\" PAMI (2014)\n  [[paper](http://crcv.ucf.edu/papers/Tracking_Survey.pdf)]\n  [[project](http://imagelab.ing.unimore.it/dsm/)]\n  [Mirror Link:ALOV300++ Dataset](http://crcv.ucf.edu/people/phd_students/afshin/ALOV300/Frames.zip)\n  [Mirror Link:ALOV300++ Groundtruth](http://crcv.ucf.edu/people/phd_students/afshin/ALOV300/GT.zip)\n\n* **OTB2013:** Wu, Yi, Jongwoo Lim, and Minghsuan Yang. \n  \"Online Object Tracking: A Benchmark.\" CVPR (2013).\n  [[paper](http://faculty.ucmerced.edu/mhyang/papers/cvpr13_benchmark.pdf)]\n\n* **OTB2015:** Wu, Yi, Jongwoo Lim, and Minghsuan Yang. \n  \"Object Tracking Benchmark.\" TPAMI (2015).\n  [[paper](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=7001050\u0026tag=1)]\n  [[project](http://cvlab.hanyang.ac.kr/tracker_benchmark/index.html)]\n\n* **Dataset-VOT:**\n  **[[project](http://www.votchallenge.net/)]**\n\n**[[VOT13_paper_ICCV](http://www.votchallenge.net/vot2013/Download/vot_2013_paper.pdf)]The Visual Object Tracking VOT2013 challenge results**\n\n**[[VOT14_paper_ECCV](http://www.votchallenge.net/vot2014/download/vot_2014_paper.pdf)]The Visual Object Tracking VOT2014 challenge results**\n\n**[[VOT15_paper_ICCV](http://www.votchallenge.net/vot2015/download/vot_2015_paper.pdf)]The Visual Object Tracking VOT2015 challenge results**\n\n**[[VOT16_paper_ECCV](http://www.votchallenge.net/vot2016/download/vot_2016_paper.pdf)]The Visual Object Tracking VOT2016 challenge results**\n\n**[[VOT17_paper_ICCV](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf)]The Visual Object Tracking VOT2017 challenge results**\n\n\n## Distinguished Researchers \u0026 Teams\nDistinguished visual tracking researchers who have published +3 papers which have a major impact on the field of visual tracking and are still active in the field of visual tracking.(Names listed in no particular order.)\n\n* [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/)\n* [Haibin Ling](http://www.dabi.temple.edu/~hbling/)\n* [Huchuan Lu](http://ice.dlut.edu.cn/lu/)\n* [Hongdong Li](http://users.cecs.anu.edu.au/~hongdong/)\n* [Lei Zhang](http://www4.comp.polyu.edu.hk/~cslzhang/)\n* [Matej Kristan](http://www.vicos.si/People/Matejk)\n* [João F. Henriques](http://www.robots.ox.ac.uk/~joao/)\n* [Martin Danelljan](http://users.isy.liu.se/cvl/marda26/)\n* [Kaihua Zhang](http://kaihuazhang.net/)\n* [Hamed Kiani](http://www.hamedkiani.com/)\n* [Luca Bertinetto](http://www.robots.ox.ac.uk/~luca/index.html)\n* [Tianzhu Zhang](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/index.html)\n* [Chao Ma](https://www.chaoma.info/)\n* [Yibing Song](https://ybsong00.github.io/)\n* [Dong Wang](http://www.escience.cn/people/wangdongdut/index.html)\n* [**Torr Vision Group**](http://www.robots.ox.ac.uk/~tvg/people.php)\n* [**Computer Vision Laboratory, POSTECH**](http://cvlab.postech.ac.kr/lab/index.php)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffoolwood%2Fbenchmark_results","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffoolwood%2Fbenchmark_results","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffoolwood%2Fbenchmark_results/lists"}