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Potential Driven Reinforcement Learning for Hard Exploration Tasks 会议论文
, 线上, 2020-4
作者:  Zhao EM(赵恩民);  Deng SH(邓诗弘);  Zang YF(臧一凡);  Kang YX(康永欣);  Li K(李凯);  Xing JL(兴军亮)
Adobe PDF(1999Kb)  |  收藏  |  浏览/下载:118/45  |  提交时间:2023/06/29
M-NAS: Meta Neural Architecture Search 会议论文
, New York, 2020.02.07-2020.02.12
作者:  Wang JX(王家兴);  Wu JX(吴家祥);  Bo HL(柏昊立);  Cheng J(程健)
Adobe PDF(838Kb)  |  收藏  |  浏览/下载:181/37  |  提交时间:2021/06/16
Proxy Task Learning for Cross-Domain Person Re-Identification 会议论文
, London, United Kingdom, United Kingdom, 2020.7.6-10
作者:  Huang, Houjing;  Chen, Xiaotang;  Huang, Kaiqi
浏览  |  Adobe PDF(1047Kb)  |  收藏  |  浏览/下载:228/51  |  提交时间:2021/01/25
Person Re-identification, Cross-domain, Multi-task, Human Parsing, Attribute Recognition  
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: PP, 期号: 99, 页码: 1-13
作者:  Xiaohu,Zhou;  Xiaoliang.Xie;  Zhenqiu,Feng;  Zengguang,Hou;  Guibin,Bian;  Ruiqi,Li;  Zhenliang,Ni;  Shiqi,Liu;  Yan-Jie Zhou
浏览  |  Adobe PDF(2286Kb)  |  收藏  |  浏览/下载:321/66  |  提交时间:2020/11/05
Endovascular manipulations  multilayer and multimodal-fusion architecture (MMFA)  percutaneous coronary intervention (PCI),  technical skill assessment  
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices 会议论文
, Online, 2020
作者:  He, Xiangyu;  Mo, Zitao;  Cheng, Ke;  Xu, Weixiang;  Hu, Qinghao;  Wang, Peisong;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(2540Kb)  |  收藏  |  浏览/下载:236/59  |  提交时间:2020/10/20
Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
作者:  Zhang, Yifan;  Shi, Lei;  Wu, Yi;  Cheng, Ke;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(1310Kb)  |  收藏  |  浏览/下载:501/142  |  提交时间:2020/08/31
Gesture recognition  Spatiotemporal deformable convolution  Spatiotemporal convolutional neural network  
面向水下环境的时序视觉检测方法研究 学位论文
工学博士, 在线: 中国科学院大学, 2020
作者:  陈星宇
Adobe PDF(13345Kb)  |  收藏  |  浏览/下载:465/26  |  提交时间:2020/06/08
水下机器视觉  目标检测  图像质量恢复  目标跟踪  深度学习  环境感知  水下机器人