論文閱讀：Learnable pooling with Context Gating for video classification
這篇論文是2016年Google Cloud & YouTube-8M Video Understanding Challenge比賽中冠軍得主的論文。 文章的兩點貢獻： 融合了VLAD, bag-of-visual-words和Fisher Vector三種編碼方式，並且每個都做了一定程度的調整。其中，VLAD改爲NetRVLAD, bag-of-visual-words改爲Soft-DBoW,
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相關文章
- 1. #Paper Reading# Learnable pooling with Context Gating for video classification
- 2. 視頻分類算法（《《Learnable pooling with Context Gating for video classification》）
- 3. 行爲識別論文閱讀 | Large-scale Video Classification with Convolutional Neural Networks
- 4. 【論文閱讀筆記】Beyond Short Snippets: Deep Networks for Video Classification
- 5. 【論文閱讀】AlexNet:ImageNet Classification with Deep Covolutional Network
- 6. 【論文閱讀筆記】Large-scale Video Classification with Convolutional Neural Networks
- 7. [論文閱讀]Rank Pooling for Action Recognition
- 8. Video Classification with Channel-Separated Convolutional Netwroks 論文閱讀
- 9. 【論文閱讀筆記】Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
- 10. video analysis 論文閱讀-TSN