ShihaoShao-GH/SuperGlobal

Training CVNET Backbone With GeM+, Regional-GeM, Scale-GeM

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Hey @ShihaoShao-GH ,

First all of thanks for the paper, releasing your code on github and following up on issues. My knowledge of the image retrieval world is brand new, and my stats knowledge is basic, so forgive me if this is naive.

My questions relates to training a CVNET backbone with your modifications in place (GeM+, Rgem, ScaleGem). Is it as simple as plug and play. I have ported your existing code in forward and forward_singlesacle to here, with the same losses proposed in CVNET (CurricularFace, ContrastiveLoss), would this work?

Edit: After deeper consideration, nothing wrong with doing this