Daily Paper Visual Tracking Save Abandoned

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]

• LTB50: Alan Lukežič, Luka Čehovin Zajc, Tomáš Vojíř, Jiří Matas, Matej Kristan. Performance Evaluation Methodology for Long-Term Visual Object Tracking. [paper]

• GOT-10k: Lianghua Huang, Xin Zhao, Kaiqi Huang. GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. [paper][github][project]

• 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][supp][project]

• 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][project]

• UAV123: A Benchmark and Simulator for UAV Tracking.[project]

• TrackNet: Chenge Li, Gregory Dobler, Xin Feng, Yao Wang. TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis.[paper]project]

• VOT2018: VOT2018 Challenge. [project]

• 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][project]

Survey

• Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi. An Analysis of Object Representations in Deep Visual Trackers. [paper]

• Shaoze You, Hua Zhu, Menggang Li, Yutan Li. A Review of Visual Trackers and Analysis of its Application to Mobile Robot. [paper]

• Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei. Deep Learning for Visual Tracking: A Comprehensive Survey. [paper]

CVPR2020

• SiamAttn: Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. Deformable Siamese Attention Networks for Visual Object Tracking. [paper]

• Siam R-CNN: Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe. Siam R-CNN: Visual Tracking by Re-Detection. [paper][code][project]

• Retina-MAML: Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng. Tracking by Instance Detection: A Meta-Learning Approach. (oral) [paper]

• PrDiMP: Martin Danelljan, Luc Van Gool, Radu Timofte. Probabilistic Regression for Visual Tracking. [paper][code]

• CSA: Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang. Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. [paper][code]

• SiamBAN: Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji. Siamese Box Adaptive Network for Visual Tracking. [paper][code]

AAAI2020

• GlobalTrack: Lianghua Huang, Xin Zhao, Kaiqi Huang. GlobalTrack: A Simple and Strong Baseline for Long-term Tracking. [paper][code]

• 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][code]

• 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][code]

2020

• TS-RCN: Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei. Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks. [paper]

• FCOT: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu. Fully Convolutional Online Tracking. [paper][code]

• Surroundings: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. Know Your Surroundings: Exploiting Scene Information for Object Tracking. [paper]

• 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]

ICCV2019

• VOT2019: Kristan, Matej, et al. "The Seventh Visual Object Tracking VOT2019 Challenge Results." ICCV workshops (2019). [paper]

• DiMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. "Learning Discriminative Model Prediction for Tracking." ICCV (2019). [paper][code][supp]

• 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][code][supp]

• Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan. "Learning to Track Any Object." ICCV workshop (2019). [paper]

• 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][code]

• 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][code]

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]

CVPR2019

• RPCF: Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He. "ROI Pooled Correlation Filters for Visual Tracking." CVPR (2019). [paper]

• 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][code]

• GCT: Junyu Gao, Tianzhu Zhang, Changsheng Xu."Graph Convolutional Tracking." CVPR (2019 oral). [paper]

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

• ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. ATOM: Accurate Tracking by Overlap Maximization. CVPR (2019 oral)[paper][supp][code]

• TADT: Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang. "Target-Aware Deep Tracking" CVPR (2019).[paper][supp][project][official-code-matlab]

• UDT: Wang, Ning and Song, Yibing and Ma, Chao and Zhou, Wengang and Liu, Wei and Li, Houqiang. "Unsupervised Deep Tracking." CVPR (2019).[paper][official-code-matlab][official-code-pytorch]

• ASRCF: Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. "Visual Tracking via Adaptive Spatially-Regularized Correlation Filters." CVPR (2019 oral). [paper][code]

• 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][supp][project][code]

• SiamDW: Zhipeng Zhang, Houwen Peng. "Deeper and Wider Siamese Networks for Real-Time Visual Tracking." CVPR (2019 oral).[paper][supp][code]

• 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][project]

• C-RPN: Heng Fan, Haibin Ling. "Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking." CVPR (2019). [paper][supp][code]

2019

• Siam-GAN: Zhaofu Diao, Ying Wei, Yujiang Fu, Shuo Feng. A single target tracking algorithm based on Generative Adversarial Networks. [paper]

• SiamMan: Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu. SiamMan: Siamese Motion-aware Network for Visual Tracking. [paper]

• D3S: Alan Lukežič, Jiří Matas, Matej Kristan. D3S -- A Discriminative Single Shot Segmentation Tracker. [paper]

• TracKlinic: Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling. TracKlinic: Diagnosis of Challenge Factors in Visual Tracking. [paper]

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

• DROL: Jinghao Zhou, Peng Wang, Haoyang Sun. Discriminative and Robust Online Learning for Siamese Visual Tracking. [paper][code]

• RAR: Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang. Learning Reinforced Attentional Representation for End-to-End Visual Tracking. [paper]

• BVT: Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang. Effects of Blur and Deblurring to Visual Object Tracking. [paper]

• 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]

• THOR: Axel Sauer, Elie Aljalbout, Sami Haddadin. Tracking Holistic Object Representations. BMVC 2019. [paper][code]

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

• fECO_fDeepSTRCF: Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li. Real-Time Correlation Tracking via Joint Model Compression and Transfer. [paper]

• SiamMask_E: Bao Xin Chen, John K. Tsotsos. Fast Visual Object Tracking with Rotated Bounding Boxes. [paper]

• DCFST: Linyu Zheng, Ming Tang, JinqiaoWang, Hanqing Lu. Learning Features with Differentiable Closed-Form Solver for Tracking. [paper]

• HAT: Qiangqiang Wu, Zhihui Chen, Lin Cheng, Yan Yan, Bo Li, Hanzi Wang. Hallucinated Adversarial Learning for Robust Visual Tracking. [paper]

• RCG: Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang. Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How. [paper][code]

• BoLTVOS: Paul Voigtlaender, Jonathon Luiten, Bastian Leibe. BoLTVOS: Box-Level Tracking for Video Object Segmentation. [paper]

• PTS: Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen. Prediction-Tracking-Segmentation[paper]

• TCDCaps: Ding Ma, Xiangqian Wu. TCDCaps: Visual Tracking via Cascaded Dense Capsules[paper]

• SiamVGG: Yuhong Li, Xiaofan Zhang. SiamVGG: Visual Tracking using Deeper Siamese Networks[paper][code]

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]

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][code]

NIPS2018

• DAT: Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang. "Deep Attentive Tracking via Reciprocative Learning." NIPS (2018). [paper][project][code]

ECCV2018

• UPDT: Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. "Unveiling the Power of Deep Tracking." ECCV (2018). [paper]

• DaSiamRPN: Zheng Zhu, Qiang Wang, Bo Li, Wu Wei, Junjie Yan, Weiming Hu. "Distractor-aware Siamese Networks for Visual Object Tracking." ECCV (2018). [paper][github]

• 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]

• 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]

• Meta-Tracker: Eunbyung Park, Alexander C. Berg. "Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers." [paper][github]

• DSLT: Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang. "Deep Regression Tracking with Shrinkage Loss." ECCV (2018). [paper][github]

• DRL-IS: Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou. "Deep Reinforcement Learning with Iterative Shift for Visual Tracking." ECCV (2018). [paper]

• RT-MDNet: Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han. "Real-Time MDNet." ECCV (2018). [paper]

• ACT: Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu. "Real-time 'Actor-Critic' Tracking." ECCV (2018).[paper][github]

• StructSiam: Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi. "Structured Siamese Network for Real-Time Visual Tracking." ECCV (2018). [paper]

• MemTrack: Tianyu Yang, Antoni B. Chan. "Learning Dynamic Memory Networks for Object Tracking." ECCV (2018). [paper]

• SiamFC-tri: Xingping Dong, Jianbing Shen. "Triplet Loss in Siamese Network for Object Tracking." ECCV (2018). [paper][github]

• 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][project]

• 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] [project]

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] [paper] [github]

• LSART: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Learning Spatial-Aware Regressions for Visual Tracking." CVPR (2018 Spotlight). [paper]

• SiamRPN: Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network." CVPR (2018 Spotlight). [paper]

• 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] [paper]

• 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]

• SA-Siam: Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. "A Twofold Siamese Network for Real-Time Object Tracking." CVPR (2018). [paper]

• STRCF: Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking." CVPR (2018). [paper] [github]

• FlowTrack: Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. "End-to-end Flow Correlation Tracking with Spatial-temporal Attention." CVPR (2018). [paper]

• DEDT: Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. "Efficient Diverse Ensemble for Discriminative Co-Tracking." CVPR (2018). [paper]

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

• DRT: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Correlation Tracking via Joint Discrimination and Reliability Learning." CVPR (2018). [paper]

• MCCT: Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. "Multi-Cue Correlation Filters for Robust Visual Tracking." CVPR (2018). [paper] [github]

• MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018). [paper]

• 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]