[行爲識別] Two –Stream CNN for Action Recognition in Videos
這篇文章發表於2014 NIPS。也是牛津大學產出的。在這篇文章出來之前其實也有人嘗試用深度學習來處理行爲識別，例如李飛飛團隊【Large-scale video classification with】通過疊加視頻多幀輸入到網絡中進行學習，但是不幸的是這種方法比手動提取特徵更加糟糕。當這篇文章出來以後才意味着深度學習在行爲識別中邁出了重大的一步。 一、前言 這裏主要闡述了論文的三個主要貢獻點。
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相關文章
- 1. Two-Stream SR-CNNs for Action Recognition in Videos
- 2. 譯：Two-stream convolutional networks for action recognition in videos
- 3. 譯：Two-Stream Convolutional Networks for Action Recognition in Videos
- 4. 視頻動作識別--Two-Stream Convolutional Networks for Action Recognition in Videos
- 5. Two-Stream RNN/CNN for Action Recognition in 3D Videos－閱讀筆記
- 6. Two-Stream Convolutional Networks for Action Recognition in Videos（summary part）
- 7. 《Two-Stream Convolutional Networks for Action Recognition in Videos》論文筆記
- 8. 動作識別閱讀筆記(一)《Two-Stream Convolutional Networks for Action Recognition in Videos》
- 9. Two-Stream Convolutional Networks for Action Recognition in Videos翻譯
- 10. Two-Stream Convolutional Networks for Action Recognition in Videos讀書筆記