Comments (4)
icoz69
commented on September 10, 2024
hi. did you change any parts of the code? i have checked the model the running scripts before uploading them, and there are no problems here. Using the default arguments should be OK.
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songquanpeng
commented on September 10, 2024
Thanks for your reply! I will check my changes again later.
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Jiawen-huang
commented on September 10, 2024
I noticed that your arguments have not been updated.
'sfc_lr': 100
I think this argument is unreasonable
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icoz69
commented on September 10, 2024
@Jiawen-huang ,
hi, as cosine is used to compute the EMD distance between SFC and data embedding, the magnitude of fc weights will not influence the distance. so the lr can be very large for quicker optimization.
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Related Issues (20)
- Unable to REPEAT previous results. HOT 1
- About the effect of meta-train HOT 2
- CUB dataset is not original one HOT 1
- Code for Visualization of Fig 6 & 7 in the paper HOT 2
- Reproduction of the results of tiered-imagenet HOT 1
- hyperparameters for pre-training on TieredImageNet? HOT 1
- retun statement in the encode function of class DeepEMD
- training hyperparameters for CUB and CIFAR
- About the acc on miniImageNet HOT 2
- Fail to reproduce accuracy for miniimagenet HOT 1
- About sfc_lr in eval.py HOT 1
- dataset structure？ HOT 1
- The memory of QPTH-solver(5way-1shot) is about 22GB HOT 1
- Pretrain model overfitting HOT 1
- Question on how to use this for inference HOT 1
- Can't achieve the accuracy in the papar HOT 5
- All the results are lower than paper with the default settings and feature pyramid 5,2,1 HOT 1
- Why repeat data_shot HOT 2
- MiniImageNet Dataset and TieredImageNet Dataset HOT 2
- I'm trying to reproduce under a framework named LibFewShot HOT 2
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