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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| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2019
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
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