行爲識別I3D+PoTion《PoTion: Pose MoTion Representation for Action Recognition》讀後總結
行爲識別I3D+PoTion《PoTion: Pose MoTion Representation for Action Recognition》讀後總結 前言 文章主要內容與貢獻 提出PoTion 提取關節熱圖 聚合方案 針對PoTion設計了一個與之匹配的簡單卷積神經網絡 做了多個實驗驗證PoTion的有效性 PoTion參數實驗 通道數量 聚合技術 PoTion的CNN架構 數據增強 網絡結
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- 1. 視頻行爲識別[1]Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
- 2. Representation Flow for Action Recognition
- 3. [行爲識別]RPAN：An end-to-end recurrent pose-attention network for action recognition
- 4. Activity Recognition行爲識別
- 5. Representation Flow for Action Recognition論文解讀
- 6. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition論文
- 7. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
- 8. [行爲識別]RPAN：An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos
- 9. [行爲識別] ICCV 2017 RPAN：An end-to-end recurrent pose-attention network for action recognition
- 10. [行爲識別]VideoLSTM Convolves, Attends and Flows for Action Recognition