/daily-paper-visual-tracking

记录每天整理的视觉目标跟踪论文

MIT LicenseMIT

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]

  • TREK-100: Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni. Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset.[paper]project]

  • TOTB: Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling. Transparent Object Tracking Benchmark.[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]

  • Changhong Fu, Bowen Li, Fangqiang Ding, Fuling Lin, and Geng Lu. Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation . [paper]

  • Pengyu Zhang, Dong Wang, Huchuan Lu. Multi-modal Visual Tracking: Review and Experimental Comparison. [paper]

CVPR2021

  • 🌟 Transformer Tracking: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu. Transformer Tracking. [paper][code]

  • TransformerTrack: Ning Wang, Wengang Zhou, Jie Wang, Houqaing Li. Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking. [paper][code]

  • STMTrack: Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang. STMTrack: Template-free Visual Tracking with Space-time Memory Networks. [paper][code]

  • SiamGAT: Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen. Graph Attention Tracking. [paper][code]

2021

  • 🌠: Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool. Learning Target Candidate Association to Keep Track of What Not to Track. [paper][code]

  • Stark: Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. Learning Spatio-Temporal Transformer for Visual Tracking. [paper][code]

  • TREG: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu. Target Transformed Regression for Accurate Tracking. [paper][code]

  • SiamRN: Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang. Learning to Filter: Siamese Relation Network for Robust Tracking. [paper][code]

  • : Faraz Lotfi, Hamid D. Taghirad. Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network. [paper]

  • : Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang. Real-Time Visual Object Tracking via Few-Shot Learning. [paper]

  • : Tsubasa Murate, Takashi Watanabe, Masaki Yamada. Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking. [paper]

ECCV2020

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

  • PG-Net: Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, and Jun Yin. PG-Net: Pixel to Global Matching Network for Visual Tracking. [paper][supp]

  • Ocean: Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu. Ocean: Object-aware Anchor-free Tracking. [paper][code]

  • DCFST: Linyu Zheng, Ming Tang, Yingying Chen, JinqiaoWang, Hanqing Lu. Learning Feature Embeddings for Discriminant Model based Tracking. [paper][supp][code]

  • CLNet: Xingping Dong1, Jianbing Shen, Ling Shao, and Fatih Porikli. CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. [paper][code]

CVPR2020

  • LTMU: Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang. High-Performance Long-Term Tracking with Meta-Updater. (oral)[paper][code]

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

  • 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]

  • CGACD: Fei Du, Peng Liu, Wei Zhao, Xianglong Tang. Correlation-Guided Attention for Corner Detection Based Visual Tracking. [paper][discussion]

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

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

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

2020

  • MFST: Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir. MFST: Multi-Features Siamese Tracker. [paper][code]

2020

  • RPT: Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin. RPT: Learning Point Set Representation for Siamese Visual Tracking. (ECCVW2020) [paper]

  • Alpha-Refine: Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang. Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation. [paper][code]

  • RE-SiamNets: Deepak K. Gupta, Devanshu Arya, Efstratios Gavves. Rotation Equivariant Siamese Networks for Tracking. [paper]

  • Coarse-to-fine-Tracker: Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini. Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. [paper][code]

  • SiamAPN: Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng. Siamese Anchor Proposal Network for High-Speed Aerial Tracking. [paper]

  • CRACT: Heng Fan, Haibin Ling. CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking. [paper]

  • DOTCL: Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman. End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. [paper]

  • RCT: Xizhe Xue, Ying Li, Qiang Shen. Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map . [paper]

  • TRAT: Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun. RSINet: TRAT: Tracking by Attention Using Spatio-Temporal Features. [paper]

  • RSINet: Yang Fang, Geun-Sik Jo, Chang-Hee Lee. RSINet: Rotation-Scale Invariant Network for Online Visual Tracking. (ICPR2020) [paper]

  • SPGA: Lijian Lin, Haosheng Chen, Yanjie Liang, Yan Yan, Hanzi Wang. Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning. (ACM MM Asia2019) [paper]

  • : Yuan Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui. Object Tracking Using Spatio-Temporal Future Prediction. [paper]

  • : Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held. Robust Instance Tracking via Uncertainty Flow. [paper]

  • DMB: Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo. Discriminative Segmentation Tracking Using Dual Memory Banks. [paper][code]

  • AAA: Heon Song, Daiki Suehiro, Seiichi Uchida. AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. (TPAMI&&WACV2020) [paper][code]

  • : Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang, Jingtuo Liu, Junyu Han, Errui Ding, Wenyu Liu. Learning Global Structure Consistency for Robust Object Tracking. (ACM MM 2020) [paper]

  • SiamKPN: Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng. Siamese Keypoint Prediction Network for Visual Object Tracking. [paper][code]

  • 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]

  • 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]

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

  • 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]

  • 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]

  • 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