gasvn
commented
5 years ago There are two types of commonly used bottleneck block with stride =2. One type is to set stride = 2 in 3x3 conv, another one is to set stride =2 in 1x1 conv. In our implementation, we follow the PyTorch official repo to use the first type of bottleneck block. The structure in our design requires the output of previous 3x3 conv has the same resolution with the input of next 3x3 conv within a Res2Net block. Thus, when stride = 2, we simply remove the connections among 3x3 convs. There are only three blocks in ResNet that has stride =2, so it may cause little difference in performance. Also, you can use the second type of bottleneck, and all blocks can be replaced with Res2Net block.
lld533
作者你好，你的代码网络结构全部用了stype='stage'的连接，这种连接方式完全没体现出论文里面说的那种递进式连接关系，反而很像group卷积的意思，除了有一个用了pooling层而不是conv层，不知道你是出于什么考量。