{"id":13444365,"url":"https://github.com/czla/daily-paper-visual-tracking","last_synced_at":"2025-03-20T18:32:17.717Z","repository":{"id":217022096,"uuid":"171984248","full_name":"czla/daily-paper-visual-tracking","owner":"czla","description":"记录每天整理的视觉目标跟踪论文","archived":false,"fork":false,"pushed_at":"2020-05-15T13:49:24.000Z","size":145,"stargazers_count":181,"open_issues_count":0,"forks_count":40,"subscribers_count":20,"default_branch":"master","last_synced_at":"2024-10-28T08:41:05.390Z","etag":null,"topics":["deep-learning","object-tracking","paper"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/czla.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-02-22T02:58:31.000Z","updated_at":"2024-07-15T16:09:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"65fc108f-ab5d-434a-803b-931519063ad2","html_url":"https://github.com/czla/daily-paper-visual-tracking","commit_stats":null,"previous_names":["czla/daily-paper-visual-tracking"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/czla%2Fdaily-paper-visual-tracking","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/czla%2Fdaily-paper-visual-tracking/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/czla%2Fdaily-paper-visual-tracking/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/czla%2Fdaily-paper-visual-tracking/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/czla","download_url":"https://codeload.github.com/czla/daily-paper-visual-tracking/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244670498,"owners_count":20490993,"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":["deep-learning","object-tracking","paper"],"created_at":"2024-07-31T04:00:20.900Z","updated_at":"2025-03-20T18:32:17.711Z","avatar_url":"https://github.com/czla.png","language":null,"funding_links":[],"categories":["Uncategorized","不同CV方向的优质内容汇总"],"sub_categories":["Uncategorized"],"readme":"## Visual Trackers for Single Object\n\n-----------------------\n### Dataset\n\n* **CDTB:** Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. [[paper](https://arxiv.org/pdf/1907.00618.pdf)]\n\n* **LTB50:** Alan Lukežič, Luka Čehovin Zajc, Tomáš Vojíř, Jiří Matas, Matej Kristan. Performance Evaluation Methodology for Long-Term Visual Object Tracking. [[paper](https://arxiv.org/pdf/1906.08675.pdf)]\n\n* **GOT-10k:** Lianghua Huang, Xin Zhao, Kaiqi Huang. GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. [[paper](https://arxiv.org/pdf/1810.11981.pdf)][[github](https://github.com/got-10k/toolkit-matlab)][[project](http://got-10k.aitestunion.com/)]\n\n* **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. \"LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking.\" CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_LaSOT_A_High-Quality_Benchmark_for_Large-Scale_Single_Object_Tracking_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Fan_LaSOT_A_High-Quality_CVPR_2019_supplemental.pdf)][[project](https://cis.temple.edu/lasot/)]  \n\n* **NFS:** H. Kiani Galoogahi, A. Fagg, C. Huang, D. Ramanan, S.Lucey. Need for Speed: A Benchmark for Higher Frame Rate Object Tracking, 2017, arXiv preprint arXiv:1703.05884[[paper](https://arxiv.org/abs/1703.05884.pdf)][[project](http://ci2cv.net/nfs/index.html)]\n\n* **UAV123:** A Benchmark and Simulator for UAV Tracking.[[project](https://ivul.kaust.edu.sa/Pages/Dataset-UAV123.aspx)]\n\n* **TrackNet:** Chenge Li, Gregory Dobler, Xin Feng, Yao Wang. TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis.[[paper](https://arxiv.org/pdf/1902.01466.pdf)][project](https://tracking-net.org/)]  \n\n* **VOT2018:** VOT2018 Challenge. [[project](http://www.votchallenge.net/vot2018/dataset.html)]  \n\n* **OTB2015:** Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.[[paper](https://www.researchgate.net/profile/Ming-Hsuan_Yang2/publication/273279481_Object_Tracking_Benchmark/links/5556e2d908ae6943a8734e3e/Object-Tracking-Benchmark.pdf)][[project](http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html)]  \n\n-----------------------\n### Survey\n\n* Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi. An Analysis of Object Representations in Deep Visual Trackers. [[paper](https://arxiv.org/pdf/2001.02593.pdf)]\n\n* Shaoze You, Hua Zhu, Menggang Li, Yutan Li. A Review of Visual Trackers and Analysis of its Application to Mobile Robot. [[paper](https://arxiv.org/ftp/arxiv/papers/1910/1910.09761.pdf)]\n\n* Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei. Deep Learning for Visual Tracking: A Comprehensive Survey. [[paper](https://arxiv.org/pdf/1912.00535.pdf)]\n\n----------------------------\n### CVPR2020\n\n* **SiamAttn:** Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. Deformable Siamese Attention Networks for Visual Object Tracking. [[paper](https://arxiv.org/pdf/2004.06711.pdf)]\n\n* **Siam R-CNN:** Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe. Siam R-CNN: Visual Tracking by Re-Detection. [[paper](https://www.vision.rwth-aachen.de/media/papers/192/siamrcnn.pdf)][[code](https://github.com/VisualComputingInstitute/SiamR-CNN)][[project](https://www.vision.rwth-aachen.de/page/siamrcnn)]\n\n* **Retina-MAML:** Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng. Tracking by Instance Detection: A Meta-Learning Approach. (**oral**) [[paper](https://arxiv.org/pdf/2004.00830.pdf)]\n\n* **PrDiMP:** Martin Danelljan, Luc Van Gool, Radu Timofte. Probabilistic Regression for Visual Tracking. [[paper](https://arxiv.org/pdf/2003.12565.pdf)][[code](https://github.com/visionml/pytracking)]\n\n* **CSA:** Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang. Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. [[paper](https://arxiv.org/pdf/2003.09595.pdf)][[code](https://github.com/MasterBin-IIAU/CSA)]\n\n* **SiamBAN:** Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji. Siamese Box Adaptive Network for Visual Tracking. [[paper](https://arxiv.org/pdf/2003.06761.pdf)][[code](https://github.com/hqucv/siamban)]\n\n\n----------------------------\n### AAAI2020\n\n* **GlobalTrack:** Lianghua Huang, Xin Zhao, Kaiqi Huang. GlobalTrack: A Simple and Strong Baseline for Long-term Tracking. [[paper](https://arxiv.org/pdf/1912.08531.pdf)][[code](https://github.com/huanglianghua/GlobalTrack)]\n\n* **SPSTracker:** Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye. \"SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking.\" AAAI (2020). [[paper](https://arxiv.org/pdf/1912.00597.pdf)][[code](https://github.com/TrackerLB/SPSTracker)]\n\n* **SiamFC++:** Yinda Xu, Zeyu Wang, Zuoxin Li, Yuan Ye, Gang Yu. \"SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines.\" AAAI (2020). [[paper](https://arxiv.org/pdf/1911.06188.pdf)][[code](https://github.com/MegviiDetection/video_analyst)]\n\n----------------------------\n### 2020\n\n* **TS-RCN:** Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei. Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks. [[paper](https://arxiv.org/pdf/2005.06536.pdf)]\n\n* **FCOT:** Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu. Fully Convolutional Online Tracking. [[paper](https://arxiv.org/pdf/2004.07109.pdf)][[code](https://github.com/MCG-NJU/FCOT)]\n\n* **Surroundings:** Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. Know Your Surroundings: Exploiting Scene Information for Object Tracking. [[paper](https://arxiv.org/pdf/2003.11014.pdf)]\n\n* **DMV:** Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim. DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. [[paper](https://arxiv.org/pdf/2003.09171.pdf)]\n\n-------------------\n### ICCV2019\n\n* **VOT2019:** Kristan, Matej, et al. \"The Seventh Visual Object Tracking VOT2019 Challenge Results.\" ICCV workshops   (2019). [[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* **DiMP:** Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. \"Learning Discriminative Model Prediction for Tracking.\" ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf)][[code](https://github.com/visionml/pytracking)][[supp](http://openaccess.thecvf.com/content_ICCV_2019/supplemental/Bhat_Learning_Discriminative_Model_ICCV_2019_supplemental.pdf)]\n\n* **UpdateNet:** Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan. \"Learning the Model Update for Siamese Trackers.\" ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_Learning_the_Model_Update_for_Siamese_Trackers_ICCV_2019_paper.pdf)][[code](https://github.com/zhanglichao/updatenet)][[supp](http://openaccess.thecvf.com/content_ICCV_2019/supplemental/Zhang_Learning_the_Model_ICCV_2019_supplemental.pdf)]\n\n* Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan. \"Learning to Track Any Object.\" ICCV workshop (2019). [[paper](https://arxiv.org/pdf/1910.11844.pdf)]\n\n* **GradNet:** Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu. \"GradNet: Gradient-Guided Network for Visual Object Tracking.\" ICCV (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.pdf)][[code](https://github.com/LPXTT/GradNet-Tensorflow)]\n\n* **GFS-DCF:** Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. \"Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking.\" ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Xu_Joint_Group_Feature_Selection_and_Discriminative_Filter_Learning_for_Robust_ICCV_2019_paper.pdf)][[code](https://github.com/XU-TIANYANG/GFS-DCF)]\n\n-------------------\n### ICIP2019\n\n* **Cascaded-Siam:** Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang. \"Learning Cascaded Siamese Networks for High Performance Visual Tracking.\" ICIP (2019). [[paper](https://arxiv.org/pdf/1905.02857.pdf)]\n\n### CVPR2019\n\n* **RPCF:** Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He. \"ROI Pooled Correlation Filters for Visual Tracking.\" CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.pdf)]\n\n* **OTR:** Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. \"Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters.\" CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf)][[code](https://github.com/ugurkart/OTR)]\n\n* **GCT:** Junyu Gao, Tianzhu Zhang, Changsheng Xu.\"Graph Convolutional Tracking.\" CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.pdf)]\n\n* **SPM:** Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng. SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. [[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* **ATOM:** Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. ATOM: Accurate Tracking by Overlap Maximization. CVPR (2019 **oral**)[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Danelljan_ATOM_Accurate_Tracking_CVPR_2019_supplemental.pdf)][[code](https://github.com/visionml/pytracking)]\n\n* **TADT:** Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang. \"Target-Aware Deep Tracking\" CVPR (2019).[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Target-Aware_Deep_Tracking_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Li_Target-Aware_Deep_Tracking_CVPR_2019_supplemental.pdf)][[project](https://xinli-zn.github.io/TADT-project-page/)][[official-code-matlab](https://github.com/XinLi-zn/TADT)]\n\n* **UDT:** Wang, Ning and Song, Yibing and Ma, Chao and Zhou, Wengang and Liu, Wei and Li, Houqiang. \"Unsupervised Deep Tracking.\" CVPR (2019).[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Unsupervised_Deep_Tracking_CVPR_2019_paper.pdf)][[official-code-matlab](https://github.com/594422814/UDT)][[official-code-pytorch](https://github.com/594422814/UDT_pytorch)]\n\n* **ASRCF:** Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. \"Visual Tracking via Adaptive Spatially-Regularized Correlation Filters.\" CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.pdf)][[code](https://github.com/Daikenan/ASRCF)]\n\n* **SiamMask:** Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. \"Fast Online Object Tracking and Segmentation: A Unifying Approach.\" CVPR (2019).[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Fast_Online_Object_Tracking_and_Segmentation_A_Unifying_Approach_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Wang_Fast_Online_Object_CVPR_2019_supplemental.pdf)][[project](http://www.robots.ox.ac.uk/~qwang/SiamMask/)][[code](https://github.com/foolwood/SiamMask?utm_campaign=explore-email\u0026utm_medium=email\u0026utm_source=newsletter\u0026utm_term=daily)]\n\n* **SiamDW:** Zhipeng Zhang, Houwen Peng. \"Deeper and Wider Siamese Networks for Real-Time Visual Tracking.\" CVPR (2019 **oral**).[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Zhang_Deeper_and_Wider_CVPR_2019_supplemental.pdf)][[code](https://github.com/researchmm/SiamDW)]\n\n* **SiamRPN++:** Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan. \"SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks.\" CVPR (2019 **oral**).[[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)][[project](http://bo-li.info/SiamRPN++/)]\n\n* **C-RPN:** Heng Fan, Haibin Ling. \"Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking.\" CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)][[supp](http://openaccess.thecvf.com/content_CVPR_2019/supplemental/Fan_Siamese_Cascaded_Region_CVPR_2019_supplemental.pdf)][[code](http://www.dabi.temple.edu/~hbling/code/CRPN/crpn.htm)]\n\n### 2019\n* **Siam-GAN:** Zhaofu Diao, Ying Wei, Yujiang Fu, Shuo Feng. A single target tracking algorithm based on Generative Adversarial Networks. [[paper](https://arxiv.org/pdf/1912.11967.pdf)]\n\n* **SiamMan:** Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu. SiamMan: Siamese Motion-aware Network for Visual Tracking. [[paper](https://arxiv.org/pdf/1912.05515.pdf)]\n\n* **D3S:** Alan Lukežič, Jiří Matas, Matej Kristan. D3S -- A Discriminative Single Shot Segmentation Tracker. [[paper](https://arxiv.org/pdf/1911.08862.pdf)]\n\n* **TracKlinic:** Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling. TracKlinic: Diagnosis of Challenge Factors in Visual Tracking. [[paper](https://arxiv.org/pdf/1911.07959.pdf)]\n\n* **SiamCAR:** Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen. SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. [[paper](https://arxiv.org/pdf/1911.07241.pdf)]\n\n* **DROL:** Jinghao Zhou, Peng Wang, Haoyang Sun. Discriminative and Robust Online Learning for Siamese Visual Tracking. [[paper](https://arxiv.org/pdf/1909.02959.pdf)][[code](https://github.com/shallowtoil/DROL)]\n\n* **RAR:** Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang. Learning Reinforced Attentional Representation for End-to-End Visual Tracking. [[paper](https://arxiv.org/pdf/1908.10009.pdf)]\n\n* **BVT:** Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang. Effects of Blur and Deblurring to Visual Object Tracking. [[paper](https://arxiv.org/pdf/1908.07904.pdf)]\n\n* **GFS-DCF:** Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. [[paper](https://arxiv.org/pdf/1907.13242.pdf)]\n\n* **THOR:** Axel Sauer, Elie Aljalbout, Sami Haddadin. Tracking Holistic Object Representations. BMVC 2019. [[paper](https://arxiv.org/pdf/1907.12920.pdf)][[code](https://github.com/xl-sr/THOR)]\n\n* **ROAM:** Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan\n. ROAM: Recurrently Optimizing Tracking Model. [[paper](https://arxiv.org/pdf/1907.12006.pdf)]\n\n* **fECO_fDeepSTRCF:** Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li. Real-Time Correlation Tracking via Joint Model Compression and Transfer. [[paper](https://arxiv.org/pdf/1907.09831.pdf)]\n\n* **SiamMask_E:** Bao Xin Chen, John K. Tsotsos. Fast Visual Object Tracking with Rotated Bounding Boxes. [[paper](https://arxiv.org/pdf/1907.03892.pdf)]\n\n* **DCFST:** Linyu Zheng, Ming Tang, JinqiaoWang, Hanqing Lu. Learning Features with Differentiable Closed-Form Solver for Tracking. [[paper](https://arxiv.org/pdf/1906.10414.pdf)]\n\n* **HAT:** Qiangqiang Wu, Zhihui Chen, Lin Cheng, Yan Yan, Bo Li, Hanzi Wang. Hallucinated Adversarial Learning for Robust Visual Tracking. [[paper](https://arxiv.org/pdf/1906.07008.pdf)]\n\n* **RCG:** Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang. Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How. [[paper](https://arxiv.org/pdf/1905.06648.pdf)][[code](https://github.com/lifeng9472/Removing_cosine_window_from_CF_trackers)]\n\n* **BoLTVOS:** Paul Voigtlaender, Jonathon Luiten, Bastian Leibe. BoLTVOS: Box-Level Tracking for Video Object Segmentation. [[paper](https://arxiv.org/pdf/1904.04552.pdf)]\n\n* **PTS:** Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen. Prediction-Tracking-Segmentation[[paper](https://arxiv.org/pdf/1904.03280.pdf)]\n\n* **TCDCaps:** Ding Ma, Xiangqian Wu. TCDCaps: Visual Tracking via Cascaded Dense Capsules[[paper](https://arxiv.org/pdf/1902.10054.pdf)]  \n* **SiamVGG:** Yuhong Li, Xiaofan Zhang. SiamVGG: Visual Tracking using Deeper Siamese Networks[[paper](https://arxiv.org/pdf/1902.02804.pdf)][[code](https://github.com/leeyeehoo/SiamVGG)]  \n\n### 2018.12\n\n* **AM-Net:** Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao. Model-free Tracking with Deep Appearance and Motion Features Integration.(WACV), 2019 [[paper](https://arxiv.org/pdf/1812.06418.pdf)]\n\n### AAAI2019\n\n* **LDES:** Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu. \"Robust Estimation of Similarity Transformation for Visual Object Tracking.\" AAAI (2019). [[paper](https://arxiv.org/pdf/1712.05231.pdf)][[code](https://github.com/ihpdep/LDES)]  \n\n----------------------------\n\n### NIPS2018  \n\n* **DAT:** Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang. \"Deep Attentive Tracking via Reciprocative Learning.\" NIPS (2018). [[paper](https://arxiv.org/pdf/1810.03851.pdf)][[project](https://ybsong00.github.io/nips18_tracking/index)][[code](https://github.com/shipubupt/NIPS2018)] \n\n### ECCV2018\n\n* **UPDT:** Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. \"Unveiling the Power of Deep Tracking.\" ECCV (2018). [[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. \"Distractor-aware Siamese Networks for Visual Object Tracking.\" ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Zheng_Zhu_Distractor-aware_Siamese_Networks_ECCV_2018_paper.pdf)][[github](https://github.com/foolwood/DaSiamRPN)]\n  \n* **SACF:** Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank. \"Visual Tracking via Spatially Aligned Correlation Filters Network.\" ECCV (2018). [[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. \"Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking.\" ECCV (2018). [[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. \"Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers.\" [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Eunbyung_Park_Meta-Tracker_Fast_and_ECCV_2018_paper.pdf)][[github](https://github.com/silverbottlep/meta_trackers)]\n\n* **DSLT:** Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang. \"Deep Regression Tracking with Shrinkage Loss.\" ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiankai_Lu_Deep_Regression_Tracking_ECCV_2018_paper.pdf)][[github](https://github.com/chaoma99/DSLT)]\n  \n* **DRL-IS:** Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou. \"Deep Reinforcement Learning with Iterative Shift for Visual Tracking.\" ECCV (2018). [[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. \"Real-Time MDNet.\" ECCV (2018). [[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. \"Real-time 'Actor-Critic' Tracking.\" ECCV (2018).[[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Boyu_Chen_Real-time_Actor-Critic_Tracking_ECCV_2018_paper.pdf)][[github](https://github.com/bychen515/ACT)]\n\n* **StructSiam:** Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi. \"Structured Siamese Network for Real-Time Visual Tracking.\" ECCV (2018). [[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. \"Learning Dynamic Memory Networks for Object Tracking.\" ECCV (2018). [[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. \"Triplet Loss in Siamese Network for Object Tracking.\" ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xingping_Dong_Triplet_Loss_with_ECCV_2018_paper.pdf)][[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. \"Long-term Tracking in the Wild: a Benchmark.\" ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Efstratios_Gavves_Long-term_Tracking_in_ECCV_2018_paper.pdf)][[project](https://oxuva.github.io/long-term-tracking-benchmark/)]\n  \n* **TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem. \"TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.\" ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Matthias_Muller_TrackingNet_A_Large-Scale_ECCV_2018_paper.pdf)] [[project](http://tracking-net.org/)]\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)]","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fczla%2Fdaily-paper-visual-tracking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fczla%2Fdaily-paper-visual-tracking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fczla%2Fdaily-paper-visual-tracking/lists"}