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I have the original input feature 830(H)x1280(W), but find seg_logits is downsampled to 1024(Channel)x104(H)x160(W) feature map in ham_head. It's too coarse.
你可以看到 在分割时,动物的边界不是很清晰。这可能是降采太多导致。希望提供指导。
Plus, you will see too many background occuping the image, which is hard to optimize the other class-segmentation. How to optimize the model to overcome this issue. For example the class_weight?
I have the original input feature 830(H)x1280(W), but find seg_logits is downsampled to 1024(Channel)x104(H)x160(W) feature map in ham_head. It's too coarse.
你可以看到 在分割时,动物的边界不是很清晰。这可能是降采太多导致。希望提供指导。
Plus, you will see too many background occuping the image, which is hard to optimize the other class-segmentation. How to optimize the model to overcome this issue. For example the
class_weight
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