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？
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？