本文是对ImageNet 2015的冠军ResNet(Deep Residual Networks)以及目前围绕ResNet这个工作研究者后续所发论文的总结,主要涉及到下面5篇论文。

Highway Networks

Re-thinking Deep Residual Networks-LMLPHP

Deep Residual Learning for Image Recognition

Re-thinking Deep Residual Networks-LMLPHP

Identity Mappings in Deep Residual Networks

Re-thinking Deep Residual Networks-LMLPHP

Re-thinking Deep Residual Networks-LMLPHP

Re-thinking Deep Residual Networks-LMLPHP

ResNet in ResNet: Generalizing Residual Architectures

Re-thinking Deep Residual Networks-LMLPHP

Inception-v4, Inception-ResNet

因为出了ResNet,所以Google的researcher马上改造了Inception-v3的网络,引入了类似ResNet block的结构,实验证明,效果也确实变好了,文章就不过多解读了。

04-16 16:17