lee-gihun / mixco-mixup-contrast Goto Github PK
View Code? Open in Web Editor NEW(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
License: MIT License
(NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
License: MIT License
It seems I could not find it in https://github.com/Lee-Gihun/MixCo-Mixup-Contrast/blob/main/moco/utils/loss_fn.py
Thanks for any guidance.
Hi,
I didn't see the L(mixco), could you please point me out which lines of code correspond to eq.3?
Thank you so much for your time.
Thanks for sharing the code of MixCo, which helped us a lot.
As you mentioned in the paper, "ResNet-34 and ResNet-50 encoder are trained for 200 epochs with batch size 128, and ResNet-18 is trained with 100 epochs", I am writing to ask if you can share the pre-trained models? Especially the counterparts in appendix C.2.
Thanks for your work and we will cite this paper in our future work.
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