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seongmin-kye / MCT

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

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pickle file

#16 chenleiJ opened 1 year ago
0
some issues about the result

#15 allenhaozhu opened 2 years ago
0
Some concerns about training

#14 zzpustc opened 3 years ago
0
Pre-trained models, is it possible to release for every setting?

#13 MichalisLazarou opened 3 years ago
3
issue about the preprocessing

#12 CSer-Tang-hao closed 4 years ago
3
Is this also code for the paper Transductive Few-shot Learning with Meta-Learned Confidence?

#11 SnowyJune973 closed 4 years ago
3
I don't understand why the model.weight.weight is prototype to calculate the dense loss

#10 Yeeesir closed 4 years ago
1
Why I convert miniImageNet dataset into the same form as yours in link,but trainning result are different

#9 Yeeesir closed 4 years ago
2
max_pool2d_with_indices_out_cuda_frame failed with error code 0

#8 thezealousfool closed 4 years ago
1
Is this a trick to set the training way to 15?

#7 Yeeesir closed 4 years ago
1
Data shuffling

#6 YangNaruto closed 4 years ago
1
pickle file

#5 jjn037 opened 4 years ago
2
model could not convergent

#4 jjn037 closed 4 years ago
2
LICENSE?

#3 skrish13 opened 4 years ago
0
code for CIFAR_FS and FC100

#2 wchixq closed 4 years ago
2
When is the code released?

#1 CSer-Tang-hao closed 4 years ago
1