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This was originally for demo purpose and for people to easily run the algorithm, so the backbone is just a shallow MLP trained with the pre-extracted ResNet-18 feature. That is why the result is different from the reported.
Ok, I will update the repo to replace the backbone as the one used in the paper to remove confusion.
@Yash-Vardhan-Sharma
Thanks for your interests in our paper.
This was originally for demo purpose and for people to easily run the algorithm, so the backbone is just a shallow MLP trained with the pre-extracted ResNet-18 feature. That is why the result is different from the reported.
Ok, I will update the repo to replace the backbone as the one used in the paper to remove confusion.
Originally posted by @dali-dl in #2 (comment)
Could you please upload the version with new backbone, thanks.
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