Visual_Object_Tracking_Paper_List

Papers

NeurIPS 2024

• CPDTrack: Dailing Zhang, Shiyu Hu, Xiaokun Feng, Xuchen Li, Meiqi Wu, Jing Zhang, Kaiqi Huang
  "Beyond Accuracy: Tracking more like Human through Visual Search" NeurIPS 2024

• DeTrack: Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang
  "DeTrack: In-model Latent Denoising Learning for Visual Object Tracking" NeurIPS 2024

CVPR 2024

• ARTrackV2: Yifan Bai, Zeyang Zhao, Yihong Gong, Xing Wei
  "ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe" CVPR 2024
  [paper]
  [code]

• AQATrack: Jinxia Xie, Bineng Zhong, Zhiyi Mo, Shengping Zhang, Liangtao Shi, Shuxiang Song, Rongrong Ji
  "Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers" CVPR 2024
  [paper]
  [code]

• DiffusionTrack: Fei Xie, Zhongdao Wang, Chao Ma
  "DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking" CVPR 2024
  [paper]
  [code]

• HIPTrack: Wenrui Cai, Qingjie Liu, Yunhong Wang
  "HIPTrack: Visual Tracking with Historical Prompts" CVPR 2024
  [paper]
  [code]

• OneTracker: Lingyi Hong, Shilin Yan, Renrui Zhang, Wanyun Li, Xinyu Zhou, Pinxue Guo, Kaixun Jiang, Yiting Cheng, Jinglun Li, Zhaoyu Chen, Wenqiang Zhang
  "OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning" CVPR 2024
  [paper]

• RTracker: Yuqing Huang, Xin Li, Zikun Zhou, Yaowei Wang, Zhenyu He, Ming-Hsuan Yang
  "RTracker: Recoverable Tracking via PN Tree Structured Memory" CVPR 2024
  [paper]
  [code]

ECCV 2024

• Diff-Tracker: Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu
  "Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers" ECCV 2024
  [paper]
  

• LoRAT: Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling
  "Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance" ECCV 2024
  [paper]
  [code]

AAAI 2024

• ODTrack: Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li
  "ODTrack: Online Dense Temporal Token Learning for Visual Tracking" AAAI 2024
  [paper]
  [code]

• EVPTrack: Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li
  "Explicit Visual Prompts for Visual Object Tracking" AAAI 2024
  [paper]
  [code]

WACV 2024

• SMAT: Goutam Yelluru Gopal, Maria A. Amer
  "Separable Self and Mixed Attention Transformers for Efficient Object Tracking" WACV 2024
  [paper]
  [code]

• DATr: Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu
  "Leveraging the Power of Data Augmentation for Transformer-based Tracking" WACV 2024
  [paper]
  [code]

ArXiv 2024

• DyTrack: Jiawen Zhu, Xin Chen, Haiwen Diao, Shuai Li, Jun-Yan He, Chenyang Li, Bin Luo, Dong Wang, Huchuan Lu
  "Exploring Dynamic Transformer for Efficient Object Tracking" ArXiv 2024
  [paper]
  

• OIFTrack: Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando
  "Optimized Information Flow for Transformer Tracking" ArXiv 2024
  [paper]
  [code]

• SuperSBT: Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
  "Correlation-Embedded Transformer Tracking: A Single-Branch Framework" ArXiv 2024
  [paper]
  [code]

TPAMI 2023

• GIT: Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang
  "Global Instance Tracking: Locating Target More Like Humans" TPAMI 2023
  [paper]
  [platform]

IJCV 2023

• SOTVerse: Shiyu Hu, Xin Zhao, Kaiqi Huang
  "SOTVerse: A User-defined Task Space of Single Object Tracking" IJCV 2023
  [paper]
  [platform]

• STRtrack: Shaochuan Zhao, Tianyang Xu, Xiaojun Wu, Josef Kittler
  "A Spatio-Temporal Robust Tracker with Spatial-Channel Transformer and Jitter Suppression" IJCV 2023
  [paper]

TIP 2023

• SRT: Tianpeng Liu, Jing Li, Jia Wu, Lefei Zhang, Jun Chang, Jun Wan, Lezhi Lian
  "Tracking with Saliency Region Transformer" TIP 2023
  [paper]

• SiamTactic: Tianyang Xu, Zhenhua Feng, Xiao-Jun Wu, Josef Kittler
  "Toward Robust Visual Object Tracking With Independent Target-Agnostic Detection and Effective Siamese Cross-Task Interaction" TIP 2023
  [paper]

CVPR 2023

• DropMAE: Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
  "DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks" CVPR 2023
  [paper]
  [code]

• VideoTrack: Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma
  "VideoTrack: Learning to Track Objects via Video Transformer" CVPR 2023
  [paper]
  [code]

• GRM: Shenyuan Gao, Chunluan Zhou, Jun Zhang
  "Generalized Relation Modeling for Transformer Tracking" CVPR 2023
  [paper]
  [code]

• ARTrack: Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong
  "Autoregressive Visual Tracking" CVPR 2023
  [paper]
  [code]

• MAT: Haojie Zhao, Dong Wang, Huchuan Lu
  "Representation Learning for Visual Object Tracking by Masked Appearance Transfer" CVPR 2023
  [paper]
  [code]

• SeqTrack: Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu
  "SeqTrack: Sequence to Sequence Learning for Visual Object Tracking" CVPR 2023
  [paper]
  [code]

ICCV 2023

• HiT: Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu
  "Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking" ICCV 2023
  [paper]
  [code]

• ROMTrack: Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu
  "Robust Object Modeling for Visual Tracking" ICCV 2023
  [paper]
  [code]

• F-BDMTrack: Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang
  "Foreground-Background Distribution Modeling Transformer for Visual Object Tracking" ICCV 2023
  [paper]
  

NeurIPS 2023

• MixFormerV2: Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang
  "MixFormerV2: Efficient Fully Transformer Tracking" NeurIPS 2023
  [paper]
  [code]

• ZoomTrack: Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang, Liang Li
  "ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking" NeurIPS 2023
  [paper]
  [code]

• MGIT: Shiyu Hu, Dailin Zhang, Meiqi Wu, Xiaokun Feng, Xuchen Li, Xin Zhao, Kaiqi Huang
  "A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship" NeurIPS 2023
  [paper]
  [platform]

• RFGM: Xinyu Zhou, Pinxue Guo, LingyiHong, JinglunLi, WeiZhang, Weifeng Ge, Wenqiang Zhang
  "Reading Relevant Feature from Global Representation Memory for Visual Object Tracking" NeurIPS 2023
  [paper]

AAAI 2023

• CTTrack: Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang
  "Compact Transformer Tracker with Correlative Masked Modeling" AAAI 2023
  [paper]
  [code]

• TATrack: Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang
  "Target-Aware Tracking with Long-term Context Attention" AAAI 2023
  [paper]
  [code]

• GdaTFT: Yun Liang; Qiaoqiao Li; Fumian Long
  "Global Dilated Attention and Target Focusing Network for Robust Tracking" AAAI 2023
  [paper]
  [code]

ACM MM 2023

• UTrack: Jie Gao, Bineng Zhong, Yan Chen
  "Unambiguous Object Tracking by Exploiting Target Cues" ACM MM 2023
  [paper]

TCSVT 2023

• SiamTHN: Jiahao Bao, Kaiqiang Chen, Xian Sun, Liangjin Zhao, Wenhui Diao, Menglong Yan
  "SiamTHN: Siamese Target Highlight Network for Visual Tracking" TCSVT 2023
  [paper]
  

ACM MMA 2023

• UPVPT: Guangtong Zhang, Qihua Liang, Ning Li, Zhiyi Mo, Bineng Zhong
  "Robust Tracking via Unifying Pretrain-Finetuning and Visual Prompt Tuning" ACM MMA 2023
  [paper]

BMCV 2023

• MVT: Goutam Yelluru Gopal, Maria A. Amer
  "Mobile Vision Transformer-based Visual Object Tracking" BMVC 2023
  [paper]
  [code]

WACV 2023

• E.T.Track: Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool
  "Efficient Visual Tracking with Exemplar Transformers" WACV 2023
  [paper]
  [code]

ArXiv 2023

• CycleTrack: Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang
  "Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking" ArXiv 2023
  [paper]
  

• CoTracker: Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
  "CoTracker: It is Better to Track Together" ArXiv 2023
  [paper]
  [code]

• LiteTrack: Qingmao Wei, Bi Zeng, Jianqi Liu, Li He, Guotian Zeng
  "LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual Tracking" ArXiv 2023
  [paper]
  [code]

• LightFC: Li Yunfeng, Wang Bo, Li Ye, Liu Zhuoyan, Wu Xueyi
  "Lightweight Full-Convolutional Siamese Tracker" ArXiv 2023
  [paper]
  [code]

• DETRrack: Qingmao Wei, Bi Zeng, Guotian Zeng
  "Efficient Training for Visual Tracking with Deformable Transformer" ArXiv 2023
  [paper]
  

• JN: Qingmao Wei, Bi Zeng, Guotian Zeng
  "Towards Efficient Training with Negative Samples in Visual Tracking" ArXiv 2023
  [paper]
  

• TransSOT: Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando
  "Transformers in Single Object Tracking: An Experimental Survey" ArXiv 2023
  [paper]
  

CVPR 2022

• MixFormer: Yutao Cui, Jiang Cheng, Limin Wang, Gangshan Wu
  "MixFormer: End-to-End Tracking with Iterative Mixed Attention" CVPR 2022
  [paper]
  [code]

• UTT: Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan
  "Unified Transformer Tracker for Object Tracking" CVPR 2022
  [paper]
  [code]

• CSWinTT: Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang
  "Transformer Tracking with Cyclic Shifting Window Attention" CVPR 2022
  [paper]
  [code]

• ToMP: Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool
  "Transforming Model Prediction for Tracking" CVPR 2022
  [paper]
  [code]

• SBT: Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng
  "Correlation-Aware Deep Tracking" CVPR 2022
  [paper]
  [code]

• GTELT: Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, Zhenyu He
  "Global Tracking via Ensemble of Local Trackers" CVPR 2022
  [paper]
  [code]

• RBO: Feng Tang, Qiang Ling
  "Ranking-based Siamese Visual Tracking" CVPR 2022 [paper]
  [code]

• ULAST: Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang
  "Unsupervised Learning of Accurate Siamese Tracking" CVPR 2022
  [paper]
  [code]

ECCV 2022

• OSTrack: Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan
  "Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework" ECCV 2022
  [paper]
  [code]

• SimTrack: Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang
  "Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking" ECCV 2022
  [paper]
  [code]

• CIA: Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li
  "Hierarchical Feature Embedding for Visual Tracking" ECCV 2022
  [paper]
  [code]

• RTS: Matthieu Paul,Martin Danelljan,Christoph Mayer,Luc Van Gool
  "Robust Visual Tracking by Segmentation" ECCV 2022
  [paper]
  [code]

• AiATrack: Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan
  "AiATrack: Attention in Attention for Transformer Visual Tracking" ECCV 2022
  [paper]
  [code]

• SLTtrack: Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
  "Towards Sequence-Level Training for Visual Tracking" ECCV 2022
  [paper]
  [code]

• FEAR: Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas
  "FEAR: Fast, Efficient, Accurate and Robust Visual Tracker" ECCV 2022
  [paper]
  

• P3AFormer: Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia
  "Tracking Objects as Pixel-wise Distributions" ECCV 2022
  [paper]
  [code]

NeurIPS 2022

• SwinTrack: Liting Lin, Heng Fan, Yong Xu, Haibin Ling
  "SwinTrack: A Simple and Strong Baseline for Transformer Tracking" NeurIPS 2022
  [paper]
  [code]

IJCAI 2022

• InBN: Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu
  "Learning Target-aware Representation for Visual Tracking via Informative Interactions" IJCAI 2022
  [paper]
  

• SparseTT: Zhihong Fu, Zehua Fu, Qingjie Liu, Zehua Fu, Yunhong Wang
  "SparseTT: Visual Tracking with Sparse Transformers" IJCAI 2022
  [paper]
  [code]

CVIU 2022

• VOTSurvey: Fei Chen, Xiaodong Wang, Yunxiang Zhao, Shaohe Lv, Xin Niu
  "Visual object tracking: A survey" CVIU 2022
  [paper]

ArXiv 2022

• NeighborTrack: Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao
  "NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets" ArXiv 2022
  [paper]
  

• SUSHI: Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
  "Unifying Short and Long-Term Tracking with Graph Hierarchies" ArXiv 2022
  [paper]
  

• PruningInTracking: Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
  "On designing light-weight object trackers through network pruning: Use CNNs or transformers?" ArXiv 2022
  [paper]
  

• ProContEXT: Jin-Peng Lan, Zhi-Qi Cheng, Jun-Yan He, Chenyang Li, Bin Luo, Xu Bao, Wangmeng Xiang, Yifeng Geng, Xuansong Xie
  "ProContEXT: Exploring Progressive Context Transformer for Tracking" ArXiv 2022
  [paper]
  [code]

• SFTransT: Chuanming Tang, Xiao Wang, Yuanchao Bai, Zhe Wu, Jianlin Zhang, Yongmei Huang
  "Learning Spatial-Frequency Transformer for Visual Object Tracking" ArXiv 2022
  [paper]
  [code]

• SOTSurvey: Zahra Soleimanitaleb, Mohammad Ali Keyvanrad
  "Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics" ArXiv 2022
  [paper]

• SOTRearch: Ruize Han, Wei Feng, Qing Guo, Qinghua Hu
  "Single Object Tracking Research: A Survey" ArXiv 2022
  [paper]

• HCAT: Xin Chen, Dong Wang, Dongdong Li, Huchuan Lu
  "Efficient Visual Tracking via Hierarchical Cross-Attention Transformer" ArXiv 2022
  [paper]
  [code]

• TransT-M: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Huchuan Lu
  "High-Performance Transformer Tracking" ArXiv 2022
  [paper]
  [code]

• GUSOT: Zhiruo Zhou, Hongyu Fu, Suya You, C. -C. Jay Kuo
  "GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences" ArXiv 2022
  [paper]
  

• SRRT: Jiawen Zhu, Xin Chen, Dong Wang, Wenda Zhao, Huchuan Lu
  "SRRT: Search Region Regulation Tracking" ArXiv 2022
  [paper]
  

• DIMBA: Xiangyu Yin, Wenjie Ruan, Jonathan Fieldsend
  "DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking" ArXiv 2022
  [paper]
  

• CAJMU: Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang
  "Context-aware Visual Tracking with Joint Meta-updating" ArXiv 2022
  [paper]
  

• SiamPSA: Guangze Zheng, Changhong Fu, Junjie Ye, Bowen Li, Geng Lu, and Jia Pan
  "SiamPSA: Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention" ArXiv 2022
  [paper]
  [code]

• AdaptiveSiam: Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E Cruz, Louis-Antoine Blais-Morin, Eric Granger
  "Generative Target Update for Adaptive Siamese Tracking" ArXiv 2022
  [paper]
  [code]

• SiamLA: Jiahao Nie, Han Wu, Zhiwei He, Yuxiang Yang, Mingyu Gao, Zhekang Dong
  "Learning Localization-aware Target Confidence for Siamese Visual Tracking" ArXiv 2022
  [paper]
  

CVPR 2021

• TransT: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu
  "Transformer Tracking" CVPR 2021
  [paper]
  [code]

• Alpha-Refine: Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang
  "Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation" CVPR 2021
  [paper]
  [code]

• LightTrack: Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu
  "LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search" CVPR 2021
  [paper]
  [code]

• TrTrack: Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li
  "Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking" CVPR 2021
  [paper]
  [code]

• STMTrack: Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang
  "STMTrack: Template-free Visual Tracking with Space-time Memory Networks" CVPR 2021
  [paper]
  [code]

• SiamGAT: Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen
  "Graph Attention Tracking" CVPR 2021
  [paper]
  [code]

• SiamACM: Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen
  "Learning to Fuse Asymmetric Feature Maps in Siamese Trackers" CVPR 2021
  [paper]
  [code]

• PUL: Qiangqiang Wu, Jia Wan, Antoni B. Chan
  "Progressive Unsupervised Learning for Visual Object Tracking" CVPR 2021
  [paper]
  [code]

• CapsuleRRT: Ding Ma, Xiangqian Wu
  "CapsuleRRT: Relationships-Aware Regression Tracking via Capsules" CVPR 2021
  [paper]
  [code]

• RE-Siam: Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
  "Rotation Equivariant Siamese Networks for Tracking" CVPR 2021
  [paper]
  [code]

• LF-Siam: Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang
  "Learning to Filter: Siamese Relation Network for Robust Tracking" CVPR 2021
  [paper]
  [code]

ICCV 2021

• STARK: Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu
  "Learning Spatio-Temporal Transformer for Visual Tracking" ICCV 2021
  [paper]
  [code]

• AutoMatch: Zhang Zhipeng, Liu Yihao, Wang Xiao, Li Bing, Hu Weiming
  "Learn to Match: Automatic Matching Network Design for Visual Tracking" ICCV 2021
  [paper]
  [code]

• DDT: Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang
  "High-Performance Discriminative Tracking with Transformers" ICCV 2021
  [paper]
  

• KeepTrack: Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
  "Learning Target Candidate Association to Keep Track of What Not to Track" ICCV 2021
  [paper]
  [code]

• SAOT: Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He
  "Saliency-Associated Object Tracking" ICCV 2021
  [paper]
  [code]

NeurIPS 2021

• PathTrack: Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
  "Tracking Without Re-recognition in Humans and Machines" NeurIPS 2021
  [paper]
  [code]

AAAI 2021

• MUG: Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft
  "Model Uncertainty Guides Visual Object Tracking" AAAI 2021
  [paper]

• UPA: Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang
  "Towards Universal Physical Attacks on Single Object Tracking" AAAI 2021
  [paper]

• PACNet: Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li
  "Visual Tracking via Hierarchical Deep Reinforcement Learning" AAAI 2021
  [paper]

• MSANet: Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi
  "A Unified Multi-Scenario Attacking Network for Visual Object Tracking" AAAI 2021
  [paper]

ICCVW 2021

• DMB: Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Wanli Xue, Wangmeng Zuo
  "Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking" ICCVW 2021
  [paper]
  [code]

• DualTFR: Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng
  "Learning Tracking Representations via Dual-Branch Fully Transformer Networks" ICCVW 2021
  [paper]
  [code]

TNNLS 2021

• CCR: Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao
  "Cascaded Correlation Refinement for Robust Deep Tracking." TNNLS 2021
  [paper]
  [code]

IJCNN 2021

• TrackMLP: Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond
  "Learning Online for Unified Segmentation and Tracking Models" IJCNN 2021
  [paper]

• SiamGAN: Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun
  "Siamese Guided Anchoring Network for Visual Tracking" IJCNN 2021
  [paper]
  [code]

WACV 2021

• MART: Heng Fan, Haibin Ling
  "MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking" WACV 2021
  [paper]
  [code]

• SiamSE: Ivan Sosnovik, Artem Moskalev, Arnold Smeulders
  "Scale Equivariance Improves Siamese Tracking" WACV 2021
  [paper]
  [code]

BMCV 2021

• CHASE: Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei
  "CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search" BMVC 2021
  [paper]

• TAPL: Wei han, Hantao Huang, Xiaoxi Yu
  "TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization" BMVC 2021
  [paper]

ArXiv 2021

• RPT++: Ziang Ma, Haitao Zhang, Linyuan Wang, Jun Yin
  "RPT++: Customized Feature Representation for Siamese Visual Tracking" ArXiv 2021
  [paper]
  

• IAT: Mengmeng Wang, Xiaoqian Yang, Yong Liu
  "Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking" ArXiv 2021
  [paper]
  

• ALT: Di Yuan, Xiaojun Chang, Qiao Liu, Dehua Wang, Zhenyu He
  "Active Learning for Deep Visual Tracking" ArXiv 2021
  [paper]
  

• DML: Jinghao Zhou, Bo Li, Lei Qiao, Peng Wang, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang
  "Higher Performance Visual Tracking with Dual-Modal Localization" ArXiv 2021
  [paper]
  

• TREG: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu
  "Target Transformed Regression for Accurate Tracking" ArXiv 2021
  [paper]
  [code]

• SiamSTM: Jinpu Zhang, Yuehuan Wang
  "Spatio-Temporal Matching for Siamese Visual Tracking" ArXiv 2021
  [paper]
  

• TrTr: Moju Zhao, Kei Okada, Masayuki Inaba
  "TrTr: Visual Tracking with Transformer" ArXiv 2021
  [paper]
  [code]