[论文阅读] CVPR2017|DFF:Deep Feature Flow for Video Recognition

时间 2020-12-27

标签 DPL 繁體版

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题目：Deep Feature Flow for Video Recognition 作者：Xizhou Zhu Yuwen Xiong Jifeng Dai Lu Yuan Yichen Wei Motivation: 作者认为视频目标检测每一帧上用CNN计算特征太慢了,两个相邻帧有相似的feature map,就想用光流算法来做中间的帧。于是DFF就出来了。 Methods: 这里作者通过可视

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1. 论文翻译--Deep Feature Flow for Video Recognition
2. Deep Feature Flow for Video Recognition读书笔记
3. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》阅读
4. 【视频检测】Deep Feature Flow for Video Recognition
5. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition论文
6. 论文笔记之 Deep Feature Flow for Video Recognition
7. Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition论文解读
8. 论文阅读《Spatiotemporal Multiplier Networks for Video Action Recognition》
9. Representation Flow for Action Recognition论文解读
10. [论文阅读]Rank Pooling for Action Recognition
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1. 论文翻译--Deep Feature Flow for Video Recognition
2. Deep Feature Flow for Video Recognition读书笔记
3. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》阅读
4. 【视频检测】Deep Feature Flow for Video Recognition
5. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition论文
6. 论文笔记之 Deep Feature Flow for Video Recognition
7. Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition论文解读
8. 论文阅读《Spatiotemporal Multiplier Networks for Video Action Recognition》
9. Representation Flow for Action Recognition论文解读
10. [论文阅读]Rank Pooling for Action Recognition

>>更多相关文章<<