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License: MIT License
Hi
Do you think it's possible to replace only GroupNorm part with MABN and the according Conv with CenConv, the rest of well-pretrained Conv+Bn remaining the same? I followed this kind of setting to maskrcnn with MobileNet backbone and also faced the nan training problem. I don't realize the nan problem coming from which part of codes. Deos MABN works only when the whole network deploying Centralized Weight, or theoretically part of it just fine? Thanks.
det from_scratch seems fine, with 36.4 AP
but fine_tune only has 19.6 AP
the only thing I modified is reusing the MSRA weight
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
and register "R-50-FPN-MABN" to load_resnet_c2_format accordingly.
Furthermore, the native e2e_mask_rcnn_R_50_FPN_1x doesn't work anymore, the box_roi gradients would blow up in a few iterations. It seems toe be a FPN problem, since C4 model can still be trained.
ps: I am running on coco2017 dataset, but it can't be the problem
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