nayeemrizve/invariance-equivariance

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

invariance-equivariance's Issues

Could you share the pretrained model on miniImageNet?

Hello! Thank you for sharing codes.

I've reproduced results for CIFAR-FS and FC100, but I failed when I tried to reproduce the paper accuracies on miniImageNet.
Could you share the pretrained model on miniImageNet and tieredImageNet ? or give some tips?
Thanks

Best,
YGW

pretrained model?

Hello! Thank you for sharing codes.

I've tried to reproduce the paper accuracies on miniImageNet, but failed.
Could you share the pretrained models? or give some tips?

I used hyper-parameters in README.

Best,
Seon.

Pretrained models

Hi Mamshad,

It's a really nice work. While I've reproduced your results for CIFAR-FS and FC100, training miniImageNet and tieredImageNet requires huge memories of GPU and time (it could not fit into 4 x RTX2080Ti). Is that possible you can share pretrained models (both base and distilled) for those two benchmarks in Dropbox or Google Drive? That will be really helpful.

Thank you,
Best

Yiren

pretrained weights of base learner

Hi! Excellent work!
It would be appreciated if you could also share the pretrained weights of base learner of miniImageNet!

Meta-dataset

Hi, thanks for sharing your outstanding work! Could you provide the code about the Meta-dataset?