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Thank you for sharing your implementation.
I am wondering would be useful to use the CASENet network for the binary edge detection for the custom dataset or adopting the CASENet network with Hausdorff distance loss (or even cross-entropy loss) instead of multi-label loss?
Thank you for sharing your implementation.
I am wondering would be useful to use the CASENet network for the binary edge detection for the custom dataset or adopting the CASENet network with Hausdorff distance loss (or even cross-entropy loss) instead of multi-label loss?
Here is an example of my ground truth:
Thank you in advance
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