Open Source Single Object Tracking

SOT Benchmark Results

• RGB SOT

Tracker	LaSOT (AUC)	TrackingNet (AUC)	GOT-10K (AO)
OSTrack(-384)	0.711	0.839	0.737
RTS	0.697	0.816	--
MixFormer(-22k)	0.692	0.831	0.707
Unicorn	0.685	0.830	--
ToMP(-101)	0.685	0.815	--
Stark(-ST101)	0.671	0.820	0.688

• RGB-Depth SOT

• Vision-Language SOT

• 3D Point Cloud SOT ...

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Rating: stars[+], forks[+], watchers[+], closed-issue[+], open-issue[-]

🔥 The Most Popular Python Framework for SOT: pytracking 🔥

🔥 Python Framework for 3D SOT in LiDAR Point Clouds: Open3DSOT 🔥

2022

• 
  [ToMP] Transforming Model Prediction for Tracking.
  Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool.

• 
  [RTS] Robust Visual Tracking by Segmentation.
  Matthieu Paul, Martin Danelljan, Christoph Mayer, and Luc Van Gool.

• 
  [Unicorn] Towards Grand Unification of Object Tracking. 🔥
  Yan, Bin and Jiang, Yi and Sun, Peize and Wang, Dong and Yuan, Zehuan and Luo, Ping and Lu, Huchuan.

• 
  [MixFormer] MixFormer: End-to-End Tracking with Iterative Mixed Attention.
  Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu.

• 
  [MM-Track] Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds.
  Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li.

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

• 
  [AiATrack] AiATrack: Attention in Attention for Transformer Visual Tracking.
  Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan.

• 
  [SLTtrack] Towards Sequence-Level Training for Visual Tracking.
  Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho.

• 
  [CSWinTT] Transformer Tracking with Cyclic Shifting Window Attention.
  Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang.

• 
  [STNet] Spiking Transformers for Event-based Single Object Tracking.
  Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang.

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

• 
  [STNet] 3D Siamese Transformer Network for Single Object Tracking on Point Clouds.
  Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang.

• 
  [CMT] CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds.
  Guo, Zhiyang and Mao, Yunyao and Zhou, Wengang and Wang, Min and Li, Houqiang.

2021

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

• 
  [TransT] Transformer Tracking.
  Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu.

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

• 
  [SOTS] Learn to Match: Automatic Matching Network Design for Visual Tracking.
  Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu.

• 
  [TrDiMP & TrSiam] Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking.
  Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li.

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

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

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

• 
  [BAT] Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds.
  Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui.

• 
  [USOT] Learning to Track Objects from Unlabeled Videos.
  Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang.

• 
  [HiFT] Hierarchical Feature Transformer for Aerial Tracking.
  Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li.

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

• 
  [DeT] DepthTrack: Unveiling the Power of RGBD Tracking.
  Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen.

• 
  [IoUattack] IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking.
  Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang.

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

• 
  [DMTrack] Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy.
  Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang.

• 
  [SAOT] Saliency-Associated Object Tracking.
  Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He.

• 
  [ABA] Learning to Adversarially Blur Visual Object Tracking.
  Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao.

• 
  [SNLT] Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers.
  Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff.

• 
  [VASR] Video Annotation for Visual Tracking via Selection and Refinement.
  Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang.

License

This Awesome-List is released under the GPL-3.0 License.