wangxiao5791509 / Tracking-with-Deep-Reinforcement-Learning

The Paper Collection of Tracking Algorithms based on Deep Reinforcement Learning

1. Huang, Chen, Simon Lucey, and Deva Ramanan. "Learning policies for adaptive tracking with deep feature cascades." In Proceedings of the IEEE International Conference on Computer Vision, pp. 105-114. 2017.

2. Ren, Liangliang, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou. "Deep reinforcement learning with iterative shift for visual tracking." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 684-700. 2018.

3. ACT: Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu. "Real-time 'Actor-Critic' Tracking." ECCV (2018).

4. p-tracker: James Supančič, III; Deva Ramanan. "Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning." ICCV (2017).

5. ADNet: Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning." CVPR (2017 Spotlight).

6. RDT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Visual Tracking by Reinforced Decision Making." arXiv (2017).

7. RLT: Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang. "Deep Reinforcement Learning for Visual Object Tracking in Videos." arXiv (2017).

8. Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018).

9. Zhang, Da, Hamid Maei, Xin Wang, and Yuan-Fang Wang. "Deep reinforcement learning for visual object tracking in videos." arXiv preprint arXiv:1701.08936 (2017).

10. Kamalapurkar, Rushikesh, Lindsey Andrews, Patrick Walters, and Warren E. Dixon. "Model-based reinforcement learning for infinite-horizon approximate optimal tracking." IEEE transactions on neural networks and learning systems 28, no. 3 (2016): 753-758.

11. Xiang, Yu, Alexandre Alahi, and Silvio Savarese. "Learning to track: Online multi-object tracking by decision making." In Proceedings of the IEEE international conference on computer vision, pp. 4705-4713. 2015.

12. Zhang, Da, Hamid Maei, Xin Wang, and Yuan-Fang Wang. "Deep reinforcement learning for visual object tracking in videos." arXiv preprint arXiv:1701.08936 (2017).

13. Luo, Wenhan, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, and Yizhou Wang. "End-to-end active object tracking via reinforcement learning." arXiv preprint arXiv:1705.10561 (2017).

14. Luo, Biao, Derong Liu, Tingwen Huang, and Ding Wang. "Model-free optimal tracking control via critic-only Q-learning." IEEE transactions on neural networks and learning systems 27, no. 10 (2016): 2134-2144.

15. Dong, Xingping, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, and Fatih Porikli. "Hyperparameter optimization for tracking with continuous deep q-learning." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 518-527. 2018.

16. Ren, Liangliang, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou. "Collaborative deep reinforcement learning for multi-object tracking." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 586-602. 2018.

17. Bae, Seung-Hwan, and Kuk-Jin Yoon. "Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking." IEEE transactions on pattern analysis and machine intelligence 40, no. 3 (2017): 595-610.

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." IEEE Transactions on Circuits and Systems for Video Technology (2018).

19. Yun, Sangdoo, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi. "Action-driven visual object tracking with deep reinforcement learning." IEEE transactions on neural networks and learning systems 29, no. 6 (2018): 2239-2252.

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." Complexity 2018 (2018).

21. • ke Song· Wei Zhang · Ran Song · Yibin Li, Online Decision Based Visual Tracking via Reinforcement Learning, [Paper] [Project]
22. • Towards Sequence-Level Training for Visual Tracking, Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho [Paper] [Code]
23. • "Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search." Wang, Xiao, et al. arXiv preprint arXiv:2205.09676 (2022). [Paper]