Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.
Awesome Lists | Featured Topics | Projects
https://github.com/Xuchen-Li/Awesome-Visual-Object-Tracking

A visual object tracking paper list, articles related to visual object tracking have been documented.
https://github.com/Xuchen-Li/Awesome-Visual-Object-Tracking
List: Awesome-Visual-Object-Tracking
awesome-list computer-vision deep-learning visual-object-tracking
Last synced: 16 days ago
JSON representation
A visual object tracking paper list, articles related to visual object tracking have been documented.
Host: GitHub
URL: https://github.com/Xuchen-Li/Awesome-Visual-Object-Tracking
Owner: Xuchen-Li
Created: 2023-12-15T13:02:41.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2024-08-01T01:31:34.000Z (5 months ago)
Last Synced: 2024-10-20T08:38:36.705Z (2 months ago)
Topics: awesome-list, computer-vision, deep-learning, visual-object-tracking
Homepage:
Size: 544 KB
Stars: 21
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

ultimate-awesome - Awesome-Visual-Object-Tracking - A visual object tracking paper list, articles related to visual object tracking have been documented. (Other Lists / Monkey C Lists)
README

        # 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](https://arxiv.org/abs/2312.17133)] 


  [[code](https://artrackv2.github.io/)]

- **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](https://arxiv.org/abs/2403.10574)] 


  [[code](https://github.com/GXNU-ZhongLab/AQATrack)]

- **DiffusionTrack:** Fei Xie, Zhongdao Wang, Chao Ma 


  "DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking" CVPR 2024 


  [[paper](https://openaccess.thecvf.com/content/CVPR2024/html/Xie_DiffusionTrack_Point_Set_Diffusion_Model_for_Visual_Object_Tracking_CVPR_2024_paper.html)] 


  [[code](https://github.com/VISION-SJTU/DiffusionTrack)]

  

- **HIPTrack:** Wenrui Cai, Qingjie Liu, Yunhong Wang 


  "HIPTrack: Visual Tracking with Historical Prompts" CVPR 2024 


  [[paper](https://arxiv.org/abs/2311.02072)] 


  [[code](https://github.com/WenRuiCai/HIPTrack)]

- **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](https://arxiv.org/abs/2403.09634)]

- **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](https://arxiv.org/abs/2403.19242)] 


  [[code](https://github.com/NorahGreen/RTracker)]

  

### 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](https://arxiv.org/abs/2407.08394)] 


- **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](https://arxiv.org/abs/2403.05231)] 


  [[code](https://github.com/LitingLin/LoRAT)]

### 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](https://arxiv.org/abs/2401.01686)]


  [[code](https://github.com/GXNU-ZhongLab/ODTrack)]

- **EVPTrack:** Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li


  "Explicit Visual Prompts for Visual Object Tracking" AAAI 2024


  [[paper](https://arxiv.org/abs/2401.03142)]


  [[code](https://github.com/GXNU-ZhongLab/EVPTrack)]

### WACV 2024

- **SMAT:** Goutam Yelluru Gopal, Maria A. Amer


  "Separable Self and Mixed Attention Transformers for Efficient Object Tracking" WACV 2024


  [[paper](https://arxiv.org/abs/2309.03979)] 


  [[code](https://github.com/goutamyg/SMAT)]

- **DATr:** Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu


  "Leveraging the Power of Data Augmentation for Transformer-based Tracking" WACV 2024


  [[paper](https://arxiv.org/abs/2309.08264)] 


  [[code](https://github.com/zj5559/DATr)]

### 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](https://arxiv.org/abs/2403.17651)] 


- **OIFTrack:** Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando


  "Optimized Information Flow for Transformer Tracking" ArXiv 2024


  [[paper](https://arxiv.org/abs/2402.08195)] 


  [[code](https://github.com/JananiKugaa/OIFTrack)]

- **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](https://arxiv.org/abs/2401.12743)]


  [[code](https://github.com/phiphiphi31/SBT)]

### TPAMI 2023

- **GIT:** Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang


  "Global Instance Tracking: Locating Target More Like Humans" TPAMI 2023


  [[paper](https://arxiv.org/pdf/2202.13073.pdf)] 


  [[platform](http://videocube.aitestunion.com/)]

### IJCV 2023

- **SOTVerse:** Shiyu Hu, Xin Zhao, Kaiqi Huang


  "SOTVerse: A User-defined Task Space of Single Object Tracking" IJCV 2023


  [[paper](https://arxiv.org/abs/2204.07414)] 


  [[platform](http://metaverse.aitestunion.com/sotverse)]

- **STRtrack:** Shaochuan Zhao, Tianyang Xu, Xiaojun Wu, Josef Kittler


  "A Spatio-Temporal Robust Tracker with Spatial-Channel Transformer and Jitter Suppression" IJCV 2023


  [[paper](https://link.springer.com/article/10.1007/s11263-023-01902-x)]

### 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](https://ieeexplore.ieee.org/document/10359476)]

- **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](https://dl.acm.org/doi/abs/10.1109/TIP.2023.3246800)]

### 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](https://arxiv.org/abs/2304.00571)] 


  [[code](https://github.com/jimmy-dq/DropMAE)]

  

- **VideoTrack:** Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma


  "VideoTrack: Learning to Track Objects via Video Transformer" CVPR 2023


  [[paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Xie_VideoTrack_Learning_To_Track_Objects_via_Video_Transformer_CVPR_2023_paper.pdf)] 


  [[code](https://github.com/phiphiphi31/VideoTrack)]

  

- **GRM:** Shenyuan Gao, Chunluan Zhou, Jun Zhang


  "Generalized Relation Modeling for Transformer Tracking" CVPR 2023


  [[paper](https://arxiv.org/pdf/2303.16580v1.pdf)] 


  [[code](https://github.com/Little-Podi/GRM)]

  

- **ARTrack:** Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong


  "Autoregressive Visual Tracking" CVPR 2023


  [[paper](https://openaccess.thecvf.com/content/CVPR2023/html/Wei_Autoregressive_Visual_Tracking_CVPR_2023_paper.html)] 


  [[code](https://github.com/MIV-XJTU/ARTrack)]

  

- **MAT:** Haojie Zhao, Dong Wang, Huchuan Lu


  "Representation Learning for Visual Object Tracking by Masked Appearance Transfer" CVPR 2023


  [[paper](https://openaccess.thecvf.com/content/CVPR2023/html/Zhao_Representation_Learning_for_Visual_Object_Tracking_by_Masked_Appearance_Transfer_CVPR_2023_paper.html)] 


  [[code](https://github.com/difhnp/MAT)]

  

- **SeqTrack:** Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu


  "SeqTrack: Sequence to Sequence Learning for Visual Object Tracking" CVPR 2023


  [[paper](https://arxiv.org/abs/2304.14394)] 


  [[code](https://github.com/microsoft/VideoX)]

### 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](https://arxiv.org/abs/2308.06904)] 


  [[code](https://github.com/kangben258/HiT)]

  

- **ROMTrack:** Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu


  "Robust Object Modeling for Visual Tracking" ICCV 2023


  [[paper](https://arxiv.org/abs/2308.05140)] 


  [[code](https://github.com/dawnyc/ROMTrack)]

  

- **F-BDMTrack:** Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang


  "Foreground-Background Distribution Modeling Transformer for Visual Object Tracking" ICCV 2023


  [[paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Yang_Foreground-Background_Distribution_Modeling_Transformer_for_Visual_Object_Tracking_ICCV_2023_paper.pdf)] 


### NeurIPS 2023

- **MixFormerV2:** Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang


  "MixFormerV2: Efficient Fully Transformer Tracking" NeurIPS 2023


  [[paper](https://arxiv.org/abs/2305.15896)] 


  [[code](https://github.com/MCG-NJU/MixFormerV2)]

  

- **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](https://arxiv.org/abs/2310.10071)] 


  [[code](https://github.com/Kou-99/ZoomTrack)]

  

- **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](https://huuuuusy.github.io/files/MGIT.pdf)] 


  [[platform](http://videocube.aitestunion.com/)]

- **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](https://arxiv.org/pdf/2402.14392.pdf)]

### 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](https://arxiv.org/abs/2301.10938)] 


  [[code](https://github.com/HUSTDML/CTTrack)]

  

- **TATrack:** Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang


  "Target-Aware Tracking with Long-term Context Attention" AAAI 2023


  [[paper](https://arxiv.org/abs/2302.13840)] 


  [[code](https://github.com/hekaijie123/TATrack)]

  

- **GdaTFT:** Yun Liang; Qiaoqiao Li; Fumian Long


  "Global Dilated Attention and Target Focusing Network for Robust Tracking" AAAI 2023


  [[paper](https://underline.io/lecture/69278-global-dilated-attention-and-target-focusing-network-for-robust-tracking)] 


  [[code](https://github.com/)]

### ACM MM 2023

- **UTrack:** Jie Gao, Bineng Zhong, Yan Chen


  "Unambiguous Object Tracking by Exploiting Target Cues" ACM MM 2023


  [[paper](https://dl.acm.org/doi/10.1145/3581783.3612240)]

### 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](https://arxiv.org/abs/2303.12304)] 


### 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](https://dl.acm.org/doi/10.1145/3595916.3626410)]

### BMCV 2023

- **MVT:** Goutam Yelluru Gopal, Maria A. Amer


  "Mobile Vision Transformer-based Visual Object Tracking" BMVC 2023


  [[paper](https://arxiv.org/abs/2309.05829)] 


  [[code](https://github.com/goutamyg/MVT)]

### WACV 2023

- **E.T.Track:** Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool


  "Efficient Visual Tracking with Exemplar Transformers" WACV 2023


  [[paper](https://arxiv.org/abs/2112.09686)] 


  [[code](https://github.com/pblatter/ettrack)]

### 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](https://arxiv.org/abs/2310.19542)] 


- **CoTracker:** Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht


  "CoTracker: It is Better to Track Together" ArXiv 2023


  [[paper](https://arxiv.org/abs/2307.07635)] 


  [[code](https://co-tracker.github.io/)]

  

- **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](https://arxiv.org/abs/2309.09249)] 


  [[code](https://github.com/TsingWei/LiteTrack)]

  

- **LightFC:** Li Yunfeng, Wang Bo, Li Ye, Liu Zhuoyan, Wu Xueyi


  "Lightweight Full-Convolutional Siamese Tracker" ArXiv 2023


  [[paper](https://arxiv.org/abs/2310.05392)] 


  [[code](https://github.com/LiYunfengLYF/LightFC)]

  

- **DETRrack:** Qingmao Wei, Bi Zeng, Guotian Zeng


  "Efficient Training for Visual Tracking with Deformable Transformer" ArXiv 2023


  [[paper](https://arxiv.org/abs/2309.02676)] 


- **JN:** Qingmao Wei, Bi Zeng, Guotian Zeng


  "Towards Efficient Training with Negative Samples in Visual Tracking" ArXiv 2023


  [[paper](https://arxiv.org/abs/2309.02903)] 


- **TransSOT:** Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando


  "Transformers in Single Object Tracking: An Experimental Survey" ArXiv 2023


  [[paper](https://arxiv.org/abs/2302.11867)] 


### CVPR 2022

- **MixFormer:** Yutao Cui, Jiang Cheng, Limin Wang, Gangshan Wu


  "MixFormer: End-to-End Tracking with Iterative Mixed Attention" CVPR 2022


  [[paper](https://arxiv.org/abs/2203.11082)] 


  [[code](https://github.com/MCG-NJU/MixFormer)]

  

- **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](https://arxiv.org/abs/2203.15175)] 


  [[code](https://github.com/Flowerfan/Trackron)]

  

- **CSWinTT:** Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang


  "Transformer Tracking with Cyclic Shifting Window Attention" CVPR 2022


  [[paper](https://arxiv.org/abs/2205.03806)] 


  [[code](https://github.com/SkyeSong38/CSWinTT)]

  

- **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](https://arxiv.org/abs/2203.11192)] 


  [[code](https://github.com/visionml/pytracking)]

  

- **SBT:** Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng


  "Correlation-Aware Deep Tracking" CVPR 2022


  [[paper](https://arxiv.org/abs/2203.01666)] 


  [[code](https://github.com/phiphiphi31/SuperSBT)]

  

- **GTELT:** Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, Zhenyu He


  "Global Tracking via Ensemble of Local Trackers" CVPR 2022


  [[paper](https://arxiv.org/abs/2203.16092)] 


  [[code](https://github.com/ZikunZhou/GTELT)]

  

- **RBO:** Feng Tang, Qiang Ling


  "Ranking-based Siamese Visual Tracking" CVPR 2022

  [[paper](https://arxiv.org/pdf/2205.11761.pdf)] 


  [[code](https://github.com/sansanfree/RBO)]

  

- **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](https://arxiv.org/abs/2204.01475)] 


  [[code](https://github.com/FlorinShum/ULAST)]

### 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](https://arxiv.org/abs/2203.11991)] 


  [[code](https://github.com/botaoye/OSTrack)]

  

- **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](https://arxiv.org/abs/2203.05328)] 


  [[code](https://github.com/LPXTT/SimTrack)]

  

- **CIA:** Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li


  "Hierarchical Feature Embedding for Visual Tracking" ECCV 2022


  [[paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/html/4400_ECCV_2022_paper.php)] 


  [[code](https://github.com/zxgravity/CIA)]

  

- **RTS:** Matthieu Paul,Martin Danelljan,Christoph Mayer,Luc Van Gool


  "Robust Visual Tracking by Segmentation" ECCV 2022


  [[paper](https://arxiv.org/abs/2203.11191)] 


  [[code](https://github.com/visionml/pytracking)]

  

- **AiATrack:** Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan


  "AiATrack: Attention in Attention for Transformer Visual Tracking" ECCV 2022


  [[paper](https://arxiv.org/abs/2207.09603)] 


  [[code](https://github.com/Little-Podi/AiATrack)]

  

- **SLTtrack:** Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho


  "Towards Sequence-Level Training for Visual Tracking" ECCV 2022


  [[paper](https://arxiv.org/abs/2208.05810)] 


  [[code](https://github.com/byminji/SLTtrack)]

  

- **FEAR:** Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas


  "FEAR: Fast, Efficient, Accurate and Robust Visual Tracker" ECCV 2022


  [[paper](https://arxiv.org/pdf/2112.07957.pdf)] 


- **P3AFormer:** Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia


  "Tracking Objects as Pixel-wise Distributions" ECCV 2022


  [[paper](https://arxiv.org/abs/2207.05518)] 


  [[code](https://sjtuytc.github.io/zelin_pages/p3aformer.html)]

### NeurIPS 2022

- **SwinTrack:** Liting Lin, Heng Fan, Yong Xu, Haibin Ling


  "SwinTrack: A Simple and Strong Baseline for Transformer Tracking" NeurIPS 2022


  [[paper](https://arxiv.org/abs/2112.00995)] 


  [[code](https://github.com/LitingLin/SwinTrack)]

### 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](https://arxiv.org/abs/2201.02526)] 


  

- **SparseTT:** Zhihong Fu, Zehua Fu, Qingjie Liu, Zehua Fu, Yunhong Wang


  "SparseTT: Visual Tracking with Sparse Transformers" IJCAI 2022


  [[paper](https://arxiv.org/abs/2205.03776)] 


  [[code](https://github.com/fzh0917/SparseTT)]

### CVIU 2022

- **VOTSurvey:** Fei Chen, Xiaodong Wang, Yunxiang Zhao, Shaohe Lv, Xin Niu


  "Visual object tracking: A survey" CVIU 2022


  [[paper](https://www.sciencedirect.com/science/article/pii/S1077314222001011?dgcid=author)] 

### 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](https://arxiv.org/pdf/2211.06663.pdf)] 


  

- **SUSHI:** Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé


  "Unifying Short and Long-Term Tracking with Graph Hierarchies" ArXiv 2022


  [[paper](https://arxiv.org/abs/2212.03038)] 


  

- **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](https://arxiv.org/abs/2211.13769)] 


- **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](https://arxiv.org/abs/2210.15511)] 


  [[code](https://drive.google.com/drive/folders/18kHdBNEwvbk8S4-mwHaI-mw5w6cK-pyY?usp=sharing)]

  

- **SFTransT:** Chuanming Tang, Xiao Wang, Yuanchao Bai, Zhe Wu, Jianlin Zhang, Yongmei Huang


  "Learning Spatial-Frequency Transformer for Visual Object Tracking" ArXiv 2022


  [[paper](https://arxiv.org/abs/2208.08829)] 


  [[code](https://github.com/Tchuanm/SFTransT.git)]

  

- **SOTSurvey:** Zahra Soleimanitaleb, Mohammad Ali Keyvanrad


  "Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics" ArXiv 2022


  [[paper](https://arxiv.org/abs/2201.13066)]

  

- **SOTRearch:** Ruize Han, Wei Feng, Qing Guo, Qinghua Hu


  "Single Object Tracking Research: A Survey" ArXiv 2022


  [[paper](https://arxiv.org/abs/2204.11410)]

  

- **HCAT:** Xin Chen, Dong Wang, Dongdong Li, Huchuan Lu


  "Efficient Visual Tracking via Hierarchical Cross-Attention Transformer" ArXiv 2022


  [[paper](https://arxiv.org/abs/2203.13537)] 


  [[code](https://github.com/chenxin-dlut/HCAT)]

  

- **TransT-M:** Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Huchuan Lu


  "High-Performance Transformer Tracking" ArXiv 2022


  [[paper](https://arxiv.org/abs/2203.13533)] 


  [[code](https://github.com/chenxin-dlut/TransT-M)]

  

- **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](https://arxiv.org/abs/2207.07629)] 


  

- **SRRT:** Jiawen Zhu, Xin Chen, Dong Wang, Wenda Zhao, Huchuan Lu


  "SRRT: Search Region Regulation Tracking" ArXiv 2022


  [[paper](https://arxiv.org/abs/2207.04438)] 


- **DIMBA:** Xiangyu Yin, Wenjie Ruan, Jonathan Fieldsend


  "DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking" ArXiv 2022


  [[paper](https://arxiv.org/abs/2207.08044)] 


- **CAJMU:** Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang


  "Context-aware Visual Tracking with Joint Meta-updating" ArXiv 2022


  [[paper](https://arxiv.org/abs/2204.01513)] 


- **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](https://arxiv.org/abs/xxxxxxxx)] 


  [[code](https://github.com/vision4robotics/SiamPSA)]

  

- **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](https://arxiv.org/abs/2202.09938)] 


  [[code](https://anonymous.4open.science/r/AdaptiveSiamese-CE78/)]

  

- **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](https://arxiv.org/abs/2204.14093)] 


### CVPR 2021

- **TransT:** Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu


  "Transformer Tracking" CVPR 2021


  [[paper](https://arxiv.org/abs/2103.15436)]


  [[code](https://github.com/chenxin-dlut/TransT)]

  

- **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](https://arxiv.org/pdf/1911.12836.pdf)]


  [[code](https://github.com/MasterBin-IIAU/AlphaRefine)]

  

- **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](https://arxiv.org/abs/2104.14545)]


  [[code](https://github.com/cvpr-2021/lighttrack)]

  

- **TrTrack:** Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li


  "Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking" CVPR 2021


  [[paper](https://arxiv.org/pdf/2103.11681.pdf)]


  [[code](https://github.com/594422814/TransformerTrack)]

  

- **STMTrack:** Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang


  "STMTrack: Template-free Visual Tracking with Space-time Memory Networks" CVPR 2021


  [[paper](https://arxiv.org/abs/2104.00324)]


  [[code](https://github.com/fzh0917/STMTrack)]

  

- **SiamGAT:** Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen


  "Graph Attention Tracking" CVPR 2021


  [[paper](https://arxiv.org/abs/2011.11204)] 


  [[code](https://github.com/ohhhyeahhh/SiamGAT)]

  

- **SiamACM:** Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen


  "Learning to Fuse Asymmetric Feature Maps in Siamese Trackers" CVPR 2021


  [[paper](https://arxiv.org/pdf/2012.02776.pdf)] 


  [[code](https://github.com/wencheng256/SiamBAN-ACM)]

  

- **PUL:** Qiangqiang Wu, Jia Wan, Antoni B. Chan


  "Progressive Unsupervised Learning for Visual Object Tracking" CVPR 2021


  [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Progressive_Unsupervised_Learning_for_Visual_Object_Tracking_CVPR_2021_paper.pdf)]


  [[code](https://github.com/PUL)]

  

- **CapsuleRRT:** Ding Ma, Xiangqian Wu 


  "CapsuleRRT: Relationships-Aware Regression Tracking via Capsules" CVPR 2021


  [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Ma_CapsuleRRT_Relationships-Aware_Regression_Tracking_via_Capsules_CVPR_2021_paper.pdf)]


  [[code](https://github.com/CapsuleRRT)]

  

- **RE-Siam:** Deepak K. Gupta, Devanshu Arya, Efstratios Gavves


  "Rotation Equivariant Siamese Networks for Tracking" CVPR 2021


  [[paper](https://arxiv.org/abs/2012.13078)]


  [[code](https://github.com/dkgupta90/re-siamnet)]

  

- **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](https://arxiv.org/abs/2104.00829)]


  [[code](https://github.com/hqucv/siamrn)]

### ICCV 2021

- **STARK:** Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu


  "Learning Spatio-Temporal Transformer for Visual Tracking" ICCV 2021


  [[paper](https://arxiv.org/pdf/2103.17154.pdf)] 


  [[code](https://github.com/researchmm/Stark)]

  

- **AutoMatch:**  Zhang Zhipeng, Liu Yihao, Wang Xiao, Li Bing, Hu Weiming


  "Learn to Match: Automatic Matching Network Design for Visual Tracking" ICCV 2021


  [[paper](https://arxiv.org/pdf/2108.00803.pdf)]


  [[code](https://github.com/JudasDie/SOTS)]

  

- **DDT:** Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang


  "High-Performance Discriminative Tracking with Transformers" ICCV 2021


  [[paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yu_High-Performance_Discriminative_Tracking_With_Transformers_ICCV_2021_paper.pdf)] 


- **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](https://arxiv.org/abs/2103.16556)] 


  [[code](https://github.com/visionml/pytracking)]

  

- **SAOT:** Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He


  "Saliency-Associated Object Tracking" ICCV 2021


  [[paper](https://arxiv.org/pdf/2108.03637.pdf)]


  [[code](https://github.com/ZikunZhou/SAOT)]

### 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](https://proceedings.neurips.cc/paper/2021/hash/a2557a7b2e94197ff767970b67041697-Abstract.html)] 


  [[code](http://bit.ly/InTcircuit)]

### AAAI 2021

- **MUG:** Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft


  "Model Uncertainty Guides Visual Object Tracking" AAAI 2021


  [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/16473)] 

- **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](https://www.aaai.org/AAAI21Papers/AAAI-2606.DingL.pdf)]

- **PACNet:** Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li


  "Visual Tracking via Hierarchical Deep Reinforcement Learning" AAAI 2021


  [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/16443)] 

- **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](https://ojs.aaai.org/index.php/AAAI/article/view/16195)]

### 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](https://arxiv.org/pdf/2009.09669.pdf)]


  [[code](https://github.com/phiphiphi31/DMB)]

  

- **DualTFR:**  Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng


  "Learning Tracking Representations via Dual-Branch Fully Transformer Networks" ICCVW 2021


  [[paper](https://arxiv.org/abs/2112.02571)]


  [[code](https://github.com/phiphiphi31/DualTFR)]

### TNNLS 2021

- **CCR:** Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao


  "Cascaded Correlation Refinement for Robust Deep Tracking." TNNLS 2021


  [[paper](https://ieeexplore.ieee.org/document/9069312)] 


  [[code](https://github.com/983632847/CCR)]

### IJCNN 2021

- **TrackMLP:** Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond


  "Learning Online for Unified Segmentation and Tracking Models" IJCNN 2021


  [[paper](https://arxiv.org/abs/2111.06994)]

  

- **SiamGAN:** Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun


  "Siamese Guided Anchoring Network for Visual Tracking" IJCNN 2021


  [[paper](https://ieeexplore.ieee.org/document/9533985)] 


  [[code](https://github.com/xxxxx.xx)]

### WACV 2021

- **MART:** Heng Fan, Haibin Ling


  "MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking" WACV 2021


  [[paper](https://openaccess.thecvf.com/content/WACV2021/papers/Fan_MART_Motion-Aware_Recurrent_Neural_Network_for_Robust_Visual_Tracking_WACV_2021_paper.pdf)] 


  [[code](https://hengfan2010.github.io/projects/MART/MART.htm)]

  

- **SiamSE:** Ivan Sosnovik, Artem Moskalev, Arnold Smeulders


  "Scale Equivariance Improves Siamese Tracking" WACV 2021


  [[paper](https://arxiv.org/pdf/2007.09115.pdf)] 


  [[code](https://github.com/ISosnovik/SiamSE)]

### 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](https://arxiv.org/abs/2107.03463)]

  

- **TAPL:** Wei han, Hantao Huang, Xiaoxi Yu


  "TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization" BMVC 2021


  [[paper](https://arxiv.org/abs/2110.13027)] 

### ArXiv 2021

- **RPT++:** Ziang Ma, Haitao Zhang, Linyuan Wang, Jun Yin


  "RPT++: Customized Feature Representation for Siamese Visual Tracking" ArXiv 2021


  [[paper](https://arxiv.org/abs/2110.12194)] 


- **IAT:** Mengmeng Wang, Xiaoqian Yang, Yong Liu


  "Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking" ArXiv 2021


  [[paper](https://arxiv.org/abs/2110.13259)] 


- **ALT:** Di Yuan, Xiaojun Chang, Qiao Liu, Dehua Wang, Zhenyu He


  "Active Learning for Deep Visual Tracking" ArXiv 2021


  [[paper](https://arxiv.org/abs/2110.15030)] 


- **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](https://arxiv.org/pdf/2103.10089.pdf)] 


- **TREG:** Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu


  "Target Transformed Regression for Accurate Tracking" ArXiv 2021


  [[paper](https://arxiv.org/pdf/2104.00403.pdf)] 


  [[code](https://github.com/MCG-NJU/TREG)]

  

- **SiamSTM:** Jinpu Zhang, Yuehuan Wang


  "Spatio-Temporal Matching for Siamese Visual Tracking" ArXiv 2021


  [[paper](https://arxiv.org/pdf/2105.02408.pdf)] 


  

- **TrTr:** Moju Zhao, Kei Okada, Masayuki Inaba


  "TrTr: Visual Tracking with Transformer" ArXiv 2021


  [[paper](https://arxiv.org/pdf/2105.03817.pdf)] 


  [[code](https://github.com/tongtybj/TrTr)]