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CASIA OpenIR

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Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：149/43  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Skeleton-Based Action Recognition with Directed Graph Neural Networks 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi L(史磊);  Zhang YF(张一帆);  Cheng J(程健);  Lu HQ(卢汉清)
Adobe PDF(554Kb)  |  收藏  |  浏览/下载：166/51  |  提交时间：2021/05/31
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(691Kb)  |  收藏  |  浏览/下载：244/61  |  提交时间：2021/01/26
Attention-based Multi-patch Aggregation for Image Aesthetic Assessment 会议论文
, Seoul, Republic of Korea, 2018-10-22 2018-10-26
作者:  Kekai, Sheng;  Weiming, Dong;  Chongyang, Ma;  Xing, Mei;  Feiyue, Huang;  Bao-Gang, Hu
浏览  |  Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：386/91  |  提交时间：2019/06/18
Image Aesthetic Assessment  Attention Mechanism  Deep Learning  
Accelerate Convolutional Neural Network with a customized VLIW DSP 会议论文
, 北京, 2018-10
作者:  Guo Peng;  Ma Hong;  Guo Ruoshan;  Liu Zhuang;  Li Pin;  Wang Donglin
浏览  |  Adobe PDF(1173Kb)  |  收藏  |  浏览/下载：344/129  |  提交时间：2019/06/17
Enhancing Visual Question Answering Using Dropout 会议论文
, Seoul, South Korea, 2018.10
作者:  Fang, Zhiwei;  Jing, Liu;  Qiao, Yanyuan;  Qu, Tang;  Li, Yong;  Lu, Hanqing
浏览  |  Adobe PDF(1635Kb)  |  收藏  |  浏览/下载：335/126  |  提交时间：2019/05/05
MaPU: A Novel Mathematical Computing Architecture 会议论文
http://hpca22.site.ac.upc.edu, Barcelona, Spain, March 12-16 2016
作者:  Donglin Wang;  Shaolin Xie;  Zhiwei Zhang;  Xueliang Du;  Lei Wang;  Zijun Liu;  shaolin.xie@ia.ac.cn
浏览  |  Adobe PDF(2051Kb)  |  收藏  |  浏览/下载：765/194  |  提交时间：2016/04/07
Computer Architecture  Vlsi  High Performance Computing