Closed caiyu6666 closed 5 months ago
To be brief, it is chosen empirically. On some datasets, setting BN mode to train is unstable during training or yields suboptimal performance. This phenomenon (and possible reasons) is discussed in the Appendix of our paper. In addition, we tried some tricks that make it possible to set all BN to train uniformly (see Stable Training in Readme and the Appendix). However, it is still a little better to choose BN mode empirically.
Got it. Thanks!
Thanks for your great work. I have a question about
model.train(encoder_bn_train=True)
.It is set
True
for some datasets, whileFalse
for OCT2017 and etc. I am wondering the reason why you choose this setting. Or whether it is chosen empirically?