[論文閱讀] CVPR2017|DFF:Deep Feature Flow for Video Recognition
題目：Deep Feature Flow for Video Recognition 作者：Xizhou Zhu Yuwen Xiong Jifeng Dai Lu Yuan Yichen Wei Motivation: 作者認爲視頻目標檢測每一幀上用CNN計算特徵太慢了,兩個相鄰幀有相似的feature map,就想用光流算法來做中間的幀。於是DFF就出來了。 Methods: 這裏作者通過可視
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相關文章
- 1. 論文翻譯--Deep Feature Flow for Video Recognition
- 2. Deep Feature Flow for Video Recognition讀書筆記
- 3. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》閱讀
- 4. 【視頻檢測】Deep Feature Flow for Video Recognition
- 5. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition論文
- 6. 論文筆記 之 Deep Feature Flow for Video Recognition
- 7. Optical Flow Guided Feature A Fast and Robust Motion Representation for Video Action Recognition論文解讀
- 8. 論文閱讀《Spatiotemporal Multiplier Networks for Video Action Recognition》
- 9. Representation Flow for Action Recognition論文解讀
- 10. [論文閱讀]Rank Pooling for Action Recognition