no code implementations • 9 May 2024 • Zeren Zhang, Haibo Qin, Jiayu Huang, Yixin Li, Hui Lin, Yitao Duan, Jinwen Ma
To enhance the framework's generalization capabilities for unseen identities, we incorporate identity loss during the training of the face swapping module.
no code implementations • 7 Dec 2023 • Guangchong Zhou, Zhiwei Xu, Zeren Zhang, Guoliang Fan
The coordination between agents in multi-agent systems has become a popular topic in many fields.
no code implementations • 27 Oct 2023 • Zeren Zhang, Ran Chen, Jinwen Ma
This paper introduces an approach to enhance seismic fault recognition through self-supervised pretraining.
no code implementations • 13 Jul 2023 • Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu
Few-shot medical image semantic segmentation is of paramount importance in the domain of medical image analysis.
no code implementations • 4 Feb 2023 • Zhiwei Xu, Bin Zhang, Dapeng Li, Guangchong Zhou, Zeren Zhang, Guoliang Fan
Value decomposition methods have gained popularity in the field of cooperative multi-agent reinforcement learning.
no code implementations • 6 Jun 2022 • Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan
Almost all multi-agent reinforcement learning algorithms without communication follow the principle of centralized training with decentralized execution.