请问residual_attention_network.py里的各个类有什么区别？

tengshaofeng / ResidualAttentionNetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

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Closed marsggbo closed 5 years ago

tengshaofeng commented 5 years ago

对不起，好久没回复了，各个类代表不同的网络结构，论文里提到的56深度的， 92深度的等，不过只看ResidualAttentionModel_92_32input就好了，其他的我还没相应修改