《A Closer Look at Spatiotemporal Convolutions for Action Recognition》总结
《A Closer Look at Spatiotemporal Convolutions for Action Recognition》 作者主要观点： 3D ResNets要比相同深度的2D ResNets，在大规模动作识别基准（如Sports-1M和Kinetics）上的训练识别结果更好。 研究方法： 实验分两部分： 以18层ResNet模型为基础，将本文提出的时空卷积与以往的卷积方
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相关文章
- 1. PaperReading3-A Closer Look at Spatiotemporal Convolutions for 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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- 8. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 9. 【论文笔记】CVPR2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 10. 论文阅读笔记《A closer look at few-shot classification》