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Tramac / awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Apache License 2.0
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ICNet中特征融合模块 #102

Closed step404 closed 4 years ago

step404 commented 4 years ago

你好，在_ICHead中， def forward(self, x_sub1, x_sub2, x_sub4): outputs = list() x_cff_24, x_24_cls = self.cff_24(x_sub4, x_sub2) outputs.append(x_24_cls) x_cff_12, x_12_cls = self.cff_12(x_sub2, x_sub1) outputs.append(x_12_cls) 1/32下采样的特征是不是被丢弃了？ x_cff_12, x_12_cls = self.cff_12(x_cff_24, x_sub1)

lxtGH commented 4 years ago

1/32的已经加入到了cff中吧

lxtGH commented 4 years ago

https://github.com/lxtGH/Fast_Seg