deep-high-resolution-net.pytorch
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[Network structure] Why hrnet use basicblock in stage 2/3/4
Thanks for your works! In Deep residual network, resnet34 use basicblock and resnet50/101 use bottleneck for practice performance. So what about hrnet? If hrnet replace basicblock by bottleneck in stage 2/3/4, the accuracy will be dropped?
looking forward to the reply!
I also want to know the result.
Joining the question.
Thanks for your works! In Deep residual network, resnet34 use basicblock and resnet50/101 use bottleneck for practice performance. So what about hrnet? If hrnet replace basicblock by bottleneck in stage 2/3/4, the accuracy will be dropped?
looking forward to the reply!
I found that when you use bottleneck block to replace the original basic block, the number of parameters will increase dramatically...It's counter-intuitive.