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View Code? Open in Web Editor NEW[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
License: Other
[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
License: Other
Hello. Thank you for your fantastic work.
I trained the model on ImageNet-1K through modified scripts/run_lewelb_eman.sh
and I got NN ACC@1 score of 19.376 after 124 epochs training. But When I evaluate using the provided checkpoint(lewel_b_100ep.pth
) with same validation setting, I got NN ACC@1 score of 35.004.
I think the training has progressed due to loss, so I want to find my fault by comparing the original log.
If possible, could I get the training log on ImageNet-1K pre-training?
Hi!
Thanks for sharing your nice work. But some files seem to be lost, such as main_byol.py
Hi. Interesting work. object-level loss can go negative?
The settings for the learning rate in the scripts seem to differ from what is described in the paper. Numbers like 3.6 and 7.2 are not mentioned in the paper. Which one is correct?
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