https://github.com/czla/daily-paper-visual-tracking

记录每天整理的视觉目标跟踪论文
https://github.com/czla/daily-paper-visual-tracking

deep-learning object-tracking paper

Last synced: about 1 month ago
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记录每天整理的视觉目标跟踪论文

• Host: GitHub
• URL: https://github.com/czla/daily-paper-visual-tracking
• Owner: czla
• License: mit
• Created: 2019-02-22T02:58:31.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-05-15T13:49:24.000Z (almost 5 years ago)
• Last Synced: 2024-10-28T08:41:05.390Z (6 months ago)
• Topics: deep-learning, object-tracking, paper
• Size: 142 KB
• Stars: 181
• Watchers: 20
• Forks: 40
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ai-awesomeness - Visual Tracking2
• awesome-ai-awesomeness - daily-paper-visual-tracking
• awesomeai - daily-paper-visual-tracking

README

        
## Visual Trackers for Single Object

-----------------------

### Dataset

* **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)]

* **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)]

* **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/)]

* **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/)]  

* **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)]

* **UAV123:** A Benchmark and Simulator for UAV Tracking.[[project](https://ivul.kaust.edu.sa/Pages/Dataset-UAV123.aspx)]

* **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/)]  

* **VOT2018:** VOT2018 Challenge. [[project](http://www.votchallenge.net/vot2018/dataset.html)]  

* **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)]  

-----------------------

### Survey

* Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi. An Analysis of Object Representations in Deep Visual Trackers. [[paper](https://arxiv.org/pdf/2001.02593.pdf)]

* 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)]

* 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)]

----------------------------

### CVPR2020

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

----------------------------

### AAAI2020

* **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)]

* **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)]

* **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)]

----------------------------

### 2020

* **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)]

* **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)]

* **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)]

* **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)]

-------------------

### ICCV2019

* **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)]

* **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)]

* **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)]

* Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan. "Learning to Track Any Object." ICCV workshop (2019). [[paper](https://arxiv.org/pdf/1910.11844.pdf)]

* **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)]

* **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)]

-------------------

### ICIP2019

* **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)]

### CVPR2019

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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&utm_medium=email&utm_source=newsletter&utm_term=daily)]

* **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)]

* **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++/)]

* **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)]

### 2019

* **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)]

* **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)]

* **D3S:** Alan Lukežič, Jiří Matas, Matej Kristan. D3S -- A Discriminative Single Shot Segmentation Tracker. [[paper](https://arxiv.org/pdf/1911.08862.pdf)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **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)]

* **ROAM:** Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan

. ROAM: Recurrently Optimizing Tracking Model. [[paper](https://arxiv.org/pdf/1907.12006.pdf)]

* **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)]

* **SiamMask_E:** Bao Xin Chen, John K. Tsotsos. Fast Visual Object Tracking with Rotated Bounding Boxes. [[paper](https://arxiv.org/pdf/1907.03892.pdf)]

* **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)]

* **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)]

* **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)]

* **BoLTVOS:** Paul Voigtlaender, Jonathon Luiten, Bastian Leibe. BoLTVOS: Box-Level Tracking for Video Object Segmentation. [[paper](https://arxiv.org/pdf/1904.04552.pdf)]

* **PTS:** Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen. Prediction-Tracking-Segmentation[[paper](https://arxiv.org/pdf/1904.03280.pdf)]

* **TCDCaps:** Ding Ma, Xiangqian Wu. TCDCaps: Visual Tracking via Cascaded Dense Capsules[[paper](https://arxiv.org/pdf/1902.10054.pdf)]  

* **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)]  

### 2018.12

* **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)]

### AAAI2019

* **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)]  

----------------------------

### NIPS2018  

* **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)] 

### ECCV2018

* **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)]  

  

* **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)]

  

* **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)]

  

* **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)]

  

* **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)]

* **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)]

  

* **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)]

  

* **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)]

  

* **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)]

* **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)]

  

* **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)]

  

* **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)]

* **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/)]

  

* **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/)]

### CVPR2018

* **VITAL:** Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang.

  "VITAL: VIsual Tracking via Adversarial Learning." CVPR (2018 **Spotlight**). 

  [[project](https://ybsong00.github.io/cvpr18_tracking/index)]

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf)]

  [[github](https://github.com/ybsong00/Vital_release)]

* **LSART:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang.

  "Learning Spatial-Aware Regressions for Visual Tracking." CVPR (2018 **Spotlight**). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.pdf)]

* **SiamRPN:** Bo Li, Wei Wu, Zheng Zhu, Junjie Yan.

  "High Performance Visual Tracking with Siamese Region Proposal Network." CVPR (2018 **Spotlight**). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf)]

* **TRACA:** Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi.

  "Context-aware Deep Feature Compression for High-speed Visual Tracking." CVPR (2018). 

  [[project](https://sites.google.com/site/jwchoivision/)]

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.pdf)]

* **RASNet:** Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank.

  "Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking." CVPR 2018. 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf)]

* **SA-Siam:** Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng.

  "A Twofold Siamese Network for Real-Time Object Tracking." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_A_Twofold_Siamese_CVPR_2018_paper.pdf)]

* **STRCF:** Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang.

  "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf)]

  [[github](https://github.com/lifeng9472/STRCF)]

* **FlowTrack:** Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan.

  "End-to-end Flow Correlation Tracking with Spatial-temporal Attention." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.pdf)]

* **DEDT:** Kourosh Meshgi, Shigeyuki Oba, Shin Ishii.

  "Efficient Diverse Ensemble for Discriminative Co-Tracking." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Meshgi_Efficient_Diverse_Ensemble_CVPR_2018_paper.pdf)]

* **SINT++:** Xiao Wang, Chenglong Li, Bin Luo, Jin Tang.

  "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018).

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf)]

* **DRT:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang.

  "Correlation Tracking via Joint Discrimination and Reliability Learning." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Correlation_Tracking_via_CVPR_2018_paper.pdf)]

* **MCCT:** Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li.

  "Multi-Cue Correlation Filters for Robust Visual Tracking." CVPR (2018). 

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.pdf)]

  [[github](https://github.com/594422814/MCCT)]

* **MKCF:** Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang.

  "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018).

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_High-Speed_Tracking_With_CVPR_2018_paper.pdf)]

  

* **HP:** Xingping Dong, Jianbing Shen, Wenguan Wang, Yu, Liu, Ling Shao, and Fatih Porikli.

  "Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning." CVPR (2018).

  [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.pdf)]