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Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction 会议论文
, Greece, 2023-5
Authors:  Xu YF(徐一凡);  Pu ZQ(蒲志强);  Cai QA(蔡奇昂);  Li FM(李非墨);  Chai XH(柴兴华)
Adobe PDF(7610Kb)  |  Favorite  |  View/Download:20/9  |  Submit date:2024/06/21
A Double-Observation Policy Learning Framework for Multi-target Coverage with Connectivity Maintenance 会议论文
, online, 2022-2
Authors:  Xu YF(徐一凡);  Pu ZQ(蒲志强);  Wu SG(吴士广);  Liu BY(刘博寅);  Yi JQ(易建强);  Geng HJ(耿虎军);  Chai XH(柴兴华)
Adobe PDF(9582Kb)  |  Favorite  |  View/Download:19/4  |  Submit date:2024/06/21
面向多目标覆盖任务的深度强化学习迁移泛化方法研究 学位论文
, 2024
Authors:  徐一凡
Adobe PDF(20521Kb)  |  Favorite  |  View/Download:34/3  |  Submit date:2024/06/20
多目标覆盖任务  强化学习  迁移泛化  课程学习  域自适应  环境偏移  
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer 会议论文
, Online, 2022-3-1
Authors:  Xu, Yifan;  Zhang, Zhijie;  Zhang, Mengdan;  Sheng, Kekai;  Li, Ke;  Dong, Weiming;  Zhang, Liqing;  Xu, Changsheng;  Sun, Xing
Adobe PDF(636Kb)  |  Favorite  |  View/Download:293/71  |  Submit date:2022/06/14
标签稀缺条件下的视觉模型可迁移性研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  许逸凡
Adobe PDF(3427Kb)  |  Favorite  |  View/Download:199/6  |  Submit date:2022/06/13
可迁移性  半监督学习  领域自适应  自注意力机制  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
Authors:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  Favorite  |  View/Download:469/101  |  Submit date:2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
Authors:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  Favorite  |  View/Download:328/47  |  Submit date:2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning