Is your mask_loss the same as MaskRCNN

uber-research / UPSNet

UPSNet: A Unified Panoptic Segmentation Network

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Closed JoyHuYY1412 closed 5 years ago

JoyHuYY1412 commented 5 years ago

https://github.com/uber-research/UPSNet/blob/ba524d5535e47ea42216dc299fa3effad4e3e661/upsnet/models/rcnn.py#L173 Sorry but I don't understand why you design your loss as this. Why the mask score doesn't need go through sigmoid function?

August-en commented 3 years ago

Do you know the reason now? I have the same confusion.