MTMT
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Some detail issues
I am interested in your work , and about the implementation, I found your reference paper[43] for prediction use conv3X3 and aslo BatchNorm2d, Relu, and Dropout. and finally use conv1X1 and sigmod function. But on your paper I found "The prediction P red(·) is realized by using three 3×3 convolutional layers, a 1×1 convolutional layer"
so my questions is if you keep the same structure of prediction as the referenced paper?
Actually, in our implementation, we use conv3x3, batchnorm2d, relu, dropout(0.1) and conv1x1. We simplify the writing in our paper. Sorry for taking some confusion with you.