Learnable pooling with Context Gating for video classification
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这篇论文是2016年Google Cloud & YouTube-8M Video Understanding Challenge比赛中冠军得主的论文。
文章的两点贡献:
- 融合了VLAD, bag-of-visual-words和Fisher Vector三种编码方式,并且每个都做了一定程度的调整。其中,VLAD改为NetRVLAD, bag-of-visual-words改为Soft-DBoW, Fisher Vector改为NetFV。
- 提出了一个新的非线性的单元 Context Gating (CG)。CG可以捕获特征之间或者标签之间的依赖性。具体的还要再看一下再补充。
论文框架:
实验结果:
代码: https://github.com/antoine77340/Youtube-8M-WILLOW
工具:https://github.com/antoine77340/LOUPE.
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