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譯:Two-stream convolutional networks for action recognition in videos
時間 2021-01-02
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視頻識別
機器學習
卷積
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Apache
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該篇文章爲視頻識別十分經典的一篇論文也是入門文章,開創了比較經典的雙流(時間流+空間流)神經網絡,本人發現很多大神博主翻譯的論文不是特別完整,故按照原文與個人理解整理完整翻譯見下。 摘要:我們研究了用於訓練視頻中行爲識別的深度卷積網絡架構。這個挑戰是捕捉靜態幀中的外觀和連續幀間的運動的互補信息。我們也旨在推廣這個在數據驅動的學習框架中表現得最好的手工特徵。 本文一共做出
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相關文章
1.
譯:Two-Stream Convolutional Networks for Action Recognition in Videos
2.
Two-Stream Convolutional Networks for Action Recognition in Videos翻譯
3.
譯:Two-Stream Convolutional Networks for Action Recognition in Videos.md
4.
Two-Stream Convolutional Networks for Action Recognition in Videos算法筆記
5.
《Two-Stream Convolutional Networks for Action Recognition in Videos》論文筆記
6.
Two-Stream Convolutional Networks for Action Recognition in Videos(summary part)
7.
視頻動作識別--Two-Stream Convolutional Networks for Action Recognition in Videos
8.
Two-Stream Convolutional Networks for Action Recognition in Videos讀書筆記
9.
論文閱讀:Two-Stream Convolutional Networks for Action Recognition in Videos
10.
Two-Stream SR-CNNs for Action Recognition in Videos
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