└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # The Paper Collection of Tracking Algorithms based on Deep Reinforcement Learning 2 | 3 | 4 | 1. Huang, Chen, Simon Lucey, and Deva Ramanan. "Learning policies for adaptive tracking with deep feature cascades." 5 | In Proceedings of the IEEE International Conference on Computer Vision, pp. 105-114. 2017. 6 | 7 | 2. Ren, Liangliang, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou. "Deep reinforcement learning with iterative shift for visual tracking." 8 | In Proceedings of the European Conference on Computer Vision (ECCV), pp. 684-700. 2018. 9 | 10 | 3. ACT: Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu. "Real-time 'Actor-Critic' Tracking." ECCV (2018). 11 | 12 | 4. p-tracker: James Supančič, III; Deva Ramanan. "Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning." 13 | ICCV (2017). 14 | 15 | 5. ADNet: Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning." 16 | CVPR (2017 Spotlight). 17 | 18 | 6. RDT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Visual Tracking by Reinforced Decision Making." arXiv (2017). 19 | 20 | 7. RLT: Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang. "Deep Reinforcement Learning for Visual Object Tracking in Videos." arXiv (2017). 21 | 22 | 8. Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018). 23 | 24 | 9. Zhang, Da, Hamid Maei, Xin Wang, and Yuan-Fang Wang. "Deep reinforcement learning for visual object tracking in videos." 25 | arXiv preprint arXiv:1701.08936 (2017). 26 | 27 | 10. Kamalapurkar, Rushikesh, Lindsey Andrews, Patrick Walters, and Warren E. Dixon. "Model-based reinforcement learning for infinite-horizon approximate optimal tracking." 28 | IEEE transactions on neural networks and learning systems 28, no. 3 (2016): 753-758. 29 | 30 | 11. Xiang, Yu, Alexandre Alahi, and Silvio Savarese. "Learning to track: Online multi-object tracking by decision making." 31 | In Proceedings of the IEEE international conference on computer vision, pp. 4705-4713. 2015. 32 | 33 | 12. Zhang, Da, Hamid Maei, Xin Wang, and Yuan-Fang Wang. "Deep reinforcement learning for visual object tracking in videos." 34 | arXiv preprint arXiv:1701.08936 (2017). 35 | 36 | 13. Luo, Wenhan, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, and Yizhou Wang. "End-to-end active object tracking via reinforcement learning." 37 | arXiv preprint arXiv:1705.10561 (2017). 38 | 39 | 14. Luo, Biao, Derong Liu, Tingwen Huang, and Ding Wang. "Model-free optimal tracking control via critic-only Q-learning." 40 | IEEE transactions on neural networks and learning systems 27, no. 10 (2016): 2134-2144. 41 | 42 | 15. Dong, Xingping, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, and Fatih Porikli. "Hyperparameter optimization for tracking with continuous deep q-learning." 43 | In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 518-527. 2018. 44 | 45 | 16. Ren, Liangliang, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou. "Collaborative deep reinforcement learning for multi-object tracking." 46 | In Proceedings of the European Conference on Computer Vision (ECCV), pp. 586-602. 2018. 47 | 48 | 17. Bae, Seung-Hwan, and Kuk-Jin Yoon. "Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking." 49 | IEEE transactions on pattern analysis and machine intelligence 40, no. 3 (2017): 595-610. 50 | 51 | 18. Liu, Xiaobai, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, and Shuicheng Yan. "Revisiting jump-diffusion process for visual tracking: a reinforcement learning approach." 52 | IEEE Transactions on Circuits and Systems for Video Technology (2018). 53 | 54 | 19. Yun, Sangdoo, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi. "Action-driven visual object tracking with deep reinforcement learning." 55 | IEEE transactions on neural networks and learning systems 29, no. 6 (2018): 2239-2252. 56 | 57 | 20. Jiang, Ming-xin, Chao Deng, Zhi-geng Pan, Lan-fang Wang, and Xing Sun. "Multiobject Tracking in Videos Based on LSTM and Deep Reinforcement Learning." 58 | Complexity 2018 (2018). 59 | 60 | 21. * ke Song· Wei Zhang · Ran Song · Yibin Li, Online Decision Based Visual Tracking via Reinforcement Learning, [[Paper](https://proceedings.neurips.cc//paper/2020/file/885b2c7a6deb4fea10f319c4ce993e02-Paper.pdf)] [[Project](https://vsislab.github.io/DTNet/)] 61 | 62 | 22. * **Towards Sequence-Level Training for Visual Tracking**, Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho 63 | [[Paper](https://arxiv.org/pdf/2208.05810.pdf)] 64 | [[Code](https://github.com/byminji/SLTtrack)] 65 | 66 | 67 | 23. * "**Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search**." Wang, Xiao, et al. arXiv preprint arXiv:2205.09676 (2022). 68 | [[Paper](https://arxiv.org/abs/2205.09676)] 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | --------------------------------------------------------------------------------