《Two-Stream Convolutional Networks for Action Recognition in Videos》論文筆記
這篇論文是2015年發表在NIPS上的一篇文章，利用雙流卷積神經網爲視頻中的行爲識別提供類一種新的思路。 下面是個人做的總結和部分翻譯。 論文貢獻 提出了一個結合時間和空間網絡的雙流卷及網絡構架。 證明了利用多幀密集的光流場的卷及網絡即使在數據較少時也能表現優異的性能。 展示了應用於兩個不同的行爲分類的數據集的多任務學習能夠用來增加訓練數據量並且能夠提高在兩個數據集上的性能。 介紹 李飛飛提出通過
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相關文章
- 1. 譯：Two-stream convolutional networks for action recognition in videos
- 2. 譯：Two-Stream Convolutional Networks for Action Recognition in Videos
- 3. 論文閱讀：Two-Stream Convolutional Networks for Action Recognition in Videos
- 4. Two-Stream Convolutional Networks for Action Recognition in Videos讀書筆記
- 5. Two-Stream Convolutional Networks for Action Recognition in Videos算法筆記
- 6. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 7. Two-Stream Convolutional Networks for Action Recognition in Videos（summary part）
- 8. 視頻動作識別--Two-Stream Convolutional Networks for Action Recognition in Videos
- 9. Two-Stream Convolutional Networks for Action Recognition in Videos翻譯
- 10. 動作識別閱讀筆記(一)《Two-Stream Convolutional Networks for Action Recognition in Videos》