crfasrnn_pytorch
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UNet version
I'm testing to see the benefits of having the crf layer with a unet. Currently the model returns a loss that oscillates between 3&4 with the crf, while the unet (from the original paper) converges to a loss of .021. Any advice?
I met the same problem with u
Under this scenario, the model tends to predict the whole image as foreground.