Learning spatio-temporal representation with local and global diffusion
Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for visual recognition problems. Nevertheless, the convolutional filters in these networks are local operations while ignoring the large-range dependency. Such drawback becomes even worse particularly for video reco...
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Main Authors: | QIU, Zhaofan, YAO, Ting, NGO, Chong-wah, TIAN, Xinmei, MEI, Tao |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6458 https://ink.library.smu.edu.sg/context/sis_research/article/7461/viewcontent/Qiu_Learning_Spatio_Temporal_Representation_With_Local_and_Global_Diffusion_CVPR_2019_paper.pdf |
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Institution: | Singapore Management University |
Language: | English |
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