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Hey, thank you for sharing the code. It's great!
I had one query. I have trained a Mintnet model for classification on CIFAR10. Can I use this same model for generating new samples i.e as a generativ…
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Thanks for publishing such an inspiring method and sharing the code.
Using classification loss to deal with the dataset CIFAR10 with VGG, one should achieve a testing acc. more than 70%(In fact, it s…
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Hi, thanks to your great work. But I have recently failed to re-produce the results in your paper (e.g., the 77.08 ACC of CIFAR10-LT) by the provided test command and pretrained model. I got the resul…
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Following the hw/readme, I could rebuild the overall block design with cifar10 ip as shown below.
![Untitled](https://user-images.githubusercontent.com/72865514/151538001-f6d56240-abba-45d0-9fc4-7cc2…
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There is an error in train_efficientnet.py
Can you fix this bug?
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Hi,
Thanks much for this work, I've been thinking of doing a similar study myself. However, I couldn't make FFA work with CNNs, which was also highlighted by Hinton. For example, **did you actually…
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Hi,
I'm trying to run an example from Getting Started from README and it seems there's a bug in code:
```
$ pip install kubeflow-kale
...
$ wget https://raw.githubusercontent.com/kubeflow-kale/e…
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hi, i have already achieve ~94% with 4000 labels on cifar10. But for my own three classification task, i have 160k labelled data and unlabelled data. i can not get expected results( worse than using t…
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List of datasets to add to the system as datamodules or to be able to load with a generic datamodule.
Adding a download script to download the datasets in the right format (Care: ImageNet is no longe…
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- generator/
image/
image_generator.py
image_classification/
image_classification_generator.py
image_annotation/
…