论文阅读"Improved Residual Networks for Image and Video Recognition"

时间 2020-12-24

标签 resnet变体繁體版

原文原文链接

该文章针对resnet中的三个主要模块：信息流的传递、残差模块和跳层连接（ Our proposed improvements address all three main components of a ResNet: the ﬂow of information through the network layers, the residual building block, and the p

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1. 【论文阅读】Improved Residual Networks for Image and Video Recognition (iResNet)
2. Improved Residual Networks for Image and Video Recognition
3. Improved Residual Networks for Image and Video Recognition 论文理解
4. ResNet升级版（1）：IResNet | Improved Residual Networks for Image and Video Recognition
5. Spatiotemporal Residual Networks for Video Action Recognition
6. 【论文阅读】Deep Residual Learning for Image Recognition
7. 论文阅读——Deep Residual Learning for Image Recognition
8. 文献阅读 - Deep Residual Learning for Image Recognition
9. 论文阅读《Dynamic Image Networks for Action Recognition》
10. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring
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1. 【论文阅读】Improved Residual Networks for Image and Video Recognition (iResNet)
2. Improved Residual Networks for Image and Video Recognition
3. Improved Residual Networks for Image and Video Recognition 论文理解
4. ResNet升级版（1）：IResNet | Improved Residual Networks for Image and Video Recognition
5. Spatiotemporal Residual Networks for Video Action Recognition
6. 【论文阅读】Deep Residual Learning for Image Recognition
7. 论文阅读——Deep Residual Learning for Image Recognition
8. 文献阅读 - Deep Residual Learning for Image Recognition
9. 论文阅读《Dynamic Image Networks for Action Recognition》
10. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring

>>更多相关文章<<