Improved Residual Networks for Image and Video Recognition 论文理解

时间 2020-12-30

标签深度学习神经网络 pytorch 繁體版

原文原文链接

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

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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
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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

>>更多相关文章<<