naoto0804 / cross-domain-detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
https://naoto0804.github.io/cross_domain_detection/
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Cannot reproduce provided DT images #16

Closed VeloDC closed 4 years ago

VeloDC commented 4 years ago

I am trying to replicate your DT step (VOC2<clipart/comic/watercolor>) for my research, but quality of transferred images I obtain from CycleGAN is substantially inferior to quality of the ones you provide, which impact final results.

Perhaps there's something I am missing, maybe I am using the wrong datasets or the wrong set of hyperparameters, are the steps I described consistent with yours?

naoto0804 commented 4 years ago

I’m so sorry for the late response and inconvenience. I have a time to look back my code and paper, it might be my mistake by just a typo. Could you just in case test the learning rate of 2e-4 (default value) instead of 1e-5?

LiewFeng commented 4 years ago

@VeloDC Do you reproduce the results? I still couldn't reproduce the results with lr=2e-4.

VeloDC commented 4 years ago

@PhoneSix , sorry for the late reply, yes, we used 2e-4 and reproduced. Visually, the results sometimes were a bit different but with 2e-4 and 10+10 epochs we obtained the same mAP numbers

LiewFeng commented 4 years ago

@VeloDC Thanks!