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I want to know how you deal with the batchnorm in deeplabv3plus head. As I know, AdaSeg freeze the bn layers which pretrained on imagenet in backbone. In the deeplabv2 head, there are no bn layers
The text was updated successfully, but these errors were encountered:
I want to know how you deal with the batchnorm in deeplabv3plus head. As I know, AdaSeg freeze the bn layers which pretrained on imagenet in backbone. In the deeplabv2 head, there are no bn layers
The text was updated successfully, but these errors were encountered: