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Some detail issues

Open zhanglsky opened this issue 4 years ago • 1 comments

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?

zhanglsky avatar Sep 09 '20 07:09 zhanglsky

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.

eraserNut avatar Sep 17 '20 15:09 eraserNut