Linghan Cheung

Thanks to @laetitiaoist , I added a parameter pad=1 to brew.conv(), it did achieve the padding goal.

@peterneher I used brew.group_conv() to implement mobilenet and encountered same problem. When I tried to load the model exported to Android, the predictor didn't work. `RuntimeError: [enforce fail at operator.cc:30]...

@steven5401 I have tried it, it works! Thanks a lot! It seems that Caffe2 don't treat the input blobs, which are *_riv and *_rm, of SpatialBN as part of parameters...

I got the same problem @northeastsquare

Get the same question here.

@QQQYang Thanks for your contribution to implementing the Rank Loss. Have your re-implement the result on the paper? Or you just trained on your own dataset?

@QQQYang OK. Could you share the alternating-training script for RA-CNN. I will very appreciate.