Improved Residual Networks for Image and Video Recognition 论文理解
这两天读了一下这篇文章，作者大概思路是从三个方面优化 1.ResStage 该方案其实就是结合了original resnet 的block结构和pre-activation resnet的block结构，在一个stage中采用三段式，头和为采用original的结构，中间部分都是采用pre-activation结构 2.Improved projection shortcut 这个更好理解，意思
相关文章
- 1. Improved Residual Networks for Image and Video Recognition
- 2. 【论文阅读】Improved Residual Networks for Image and Video Recognition (iResNet)
- 3. 论文阅读"Improved Residual Networks for Image and Video Recognition"
- 4. ResNet升级版（1）：IResNet | Improved Residual Networks for Image and Video Recognition
- 5. Spatiotemporal Residual Networks for Video Action Recognition
- 6. 论文理解 Deep Residual Learning for Image Recognition
- 7. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring
- 8. 【论文翻译】Deep Residual Learning for Image Recognition
- 9. 论文《deep residual learning for image recognition》-Kaiming He
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相关文章
- 1. Improved Residual Networks for Image and Video Recognition
- 2. 【论文阅读】Improved Residual Networks for Image and Video Recognition (iResNet)
- 3. 论文阅读"Improved Residual Networks for Image and Video Recognition"
- 4. ResNet升级版（1）：IResNet | Improved Residual Networks for Image and Video Recognition
- 5. Spatiotemporal Residual Networks for Video Action Recognition
- 6. 论文理解 Deep Residual Learning for Image Recognition
- 7. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring
- 8. 【论文翻译】Deep Residual Learning for Image Recognition
- 9. 论文《deep residual learning for image recognition》-Kaiming He
- 10. 【论文翻译】Deep residual learning for image recognition