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Hi, if I want to prune channels on regression task. What are the discrimination-aware loss labels? Assume that an image has 100*100 pixels, every pixel has a depth as its label like depth estimation. So in channel prunning, what labels should I define?
The text was updated successfully, but these errors were encountered:
Hi, if I want to prune channels on regression task. What are the discrimination-aware loss labels? Assume that an image has 100*100 pixels, every pixel has a depth as its label like depth estimation. So in channel prunning, what labels should I define?
The text was updated successfully, but these errors were encountered: