《A Closer Look at Spatiotemporal Convolutions for Action Recognition》總結
《A Closer Look at Spatiotemporal Convolutions for Action Recognition》 作者主要觀點： 3D ResNets要比相同深度的2D ResNets，在大規模動作識別基準（如Sports-1M和Kinetics）上的訓練識別結果更好。 研究方法： 實驗分兩部分： 以18層ResNet模型爲基礎，將本文提出的時空卷積與以往的卷積方
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相關文章
- 1. PaperReading3-A Closer Look at Spatiotemporal Convolutions for Action Recognition
- 2. Spatiotemporal Multiplier Networks for Video Action Recognition
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- 6. Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Ada
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- 9. 【論文筆記】CVPR2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 10. 論文閱讀筆記《A closer look at few-shot classification》