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Serge-weihao / CCNet-Pure-Pytorch

Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
MIT License
183 stars 21 forks source link

为什么CCNet输入和输出总是一样的呢？ #21

Open lijing-coder opened 1 year ago

lijing-coder commented 1 year ago

图片

Serge-weihao commented 9 months ago

https://github.com/Serge-weihao/CCNet-Pure-Pytorch/blob/ff51a27bc5e111b2e7ddc9258266a2fea4637ac6/networks/CC3d.py#L98 https://github.com/Serge-weihao/CCNet-Pure-Pytorch/blob/ff51a27bc5e111b2e7ddc9258266a2fea4637ac6/networks/CC3d.py#L25

lijing-coder commented 9 months ago

大佬，还有一个问题，麻烦解答一下，论文中给出了模型的flops和memory，但是没有给params指标，params和non-local相比会不会也有所降低？具体降低多少呢？