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Can I know the specific experimental setup of your A&B cifar100? I currently reproduce your code, but it only results at 0.677. Or can you tell me why there is this gap?
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After we execute the command `>> run_cifar10`, we get the` >> MAP = 0.897373`
Is this the result after reranking ? I mean the Fine-level Search.
@kevinlin311tw
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Have you tried to convert the dataset into cifar10 python version? Can you share your code?
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1.
utils.py", line 150, nbatch = data.size(0) // bsz
AttributeError: 'DataLoader' object has no attribute 'size'
-> nbatch = len (data.size)
2.
image.py line 9,
if args == 'cifar' -> if args …
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@dannyneil Hi Dan,
Recently, I want to use the cifar10 datasets to training example_conv network. When I change part of the code for the cifar10, but there is a error I donnot know how to solve it…
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Thank you to the author for your work,but I'm curious how to train to get ADM-IP on the CiFar-10 dataset. The FID values I obtained during iterations were significantly higher than the ones reported i…
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Hi there! Thank you for your work! I have tried to reproduce the reported results (~93% top-1) on CIFAR10 with ResNet18 using MoCoV3, however running the provided script with default parameter only gi…
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It doesn't seem to work well on the cifar10
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Hi,
I tried to run your implementation of BYOL for Cifar10. I used the following command to run the training (using my own environment):
`python main.py --batch-size=16 --epochs=1 --num-replicas…
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Hi,
I've run the code like the following for epsilon=8/255=0.03137 on CIFAR-10:
`python examples/cifar.py --proj 50 --norm_train l1_median --norm_test l1 --starting_epsilon 0.001 --epsilon 0.03137 -…