Focal loss and mIoU are introduced as loss functions to tune the network parameters. Finally, we train the U-Net implemented in PyTorch to perform semantic ...
10.08.2018 · If this is not possible, how would I modify the loss function (I'm aware of this post, however, just passing in the weights in to the loss function won't cut it, because the loss function is called separately for each class) ? Currently, I'm using the following loss function: def dice_coef(y_true, y_pred): smooth = 1.
Download scientific diagram | | The loss functions for the 16x16 D-UNet (red), ... While more epochs could be used, the loss function flattens after 70 ...
30.05.2019 · Hi Nikronic, Thanks for the links! However, None of these Unet implementation are using the pixel-weighted soft-max cross-entropy loss that is defined in the Unet paper (page 5).. I’ve tried to implement it myself using a modified version of this code to compute the weights which I multiply by the CrossEntropyLoss:. loss = …