Wi-sc/BriNet

The setting of decoder

Opened this issue · 2 comments

Could you please explain that why you reduce the channel of low level features to 48 in the decoder? It is confusing.

self.conv1 = nn.Conv2d(low_level_inplanes, 48, 1, bias=False)

self.bn1 = BatchNorm(48)

self.relu = nn.ReLU()

#channels should be 304

Wi-sc commented

Thanks for your interests. It's just consistent with Deeplab V3+. I think they reduce the channel for balance between memory and effect. You can find the ablation study (Table 1) in their paper.

Thank you!I understand now.