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L209 of `autoaugment.py`
https://github.com/tensorflow/tpu/blob/c3186a4386eb090f8f13bb07cd4bae0b149b4e01/models/official/efficientnet/autoaugment.py#L205-L209
and L278 of `autoaugment_utils.py` of t…
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So I wanted to train with the V1 AA policy but sadly I am getting various different errors:
```
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid ar…
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**Description**
Add transform which is equivalent to auto augment.
https://arxiv.org/abs/1805.09501
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[Autoaugment구현,데이터캐싱 미구현, 잡실험 베이스라인.zip](https://github.com/user-attachments/files/17039525/Autoaugment.zip)
- Autoaugment 구현
- randomseed 기능 추가 => 나중에 실험 재현할 때 필요한 기능
- 데이터 캐싱 삭제
- kfold 삭제
…
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in the datasets.py file, There's a piece of code:
`transform_train = transforms.Compose([transforms.RandomCrop(32, padding=4), transforms.RandomHorizontalFlip(),
…
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30x-250x efficient method to find augmentation policies automaticallty, relative to AutoAugment by Google.
Arxiv : https://arxiv.org/abs/1905.00397
Code : https://github.com/KakaoBrain/fast-autoau…
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# AutoAugment
## Reference
- [paper - 2018 - AutoAugment: Learning Augmentation Policies from Data](https://arxiv.org/abs/1805.09501)
- [PBA](https://github.com/huawei-noah/vega/blob/master/docs…
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I have tried to train RegNet variants with strong augmentations, such as AutoAugment or CutMix.
But the performance can not be improved with them.
For example, I have reproduced the paper's resu…
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### 🚀 The feature
Implement [Learning Data Augmentation Strategies for Object Detection](https://arxiv.org/abs/1906.11172)
Refers to: #3817
### Motivation, pitch
Good to have augmentation in Torc…
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Hi,
According to the paper, autoaugment is only used for the images classification (with the cross attention head), but in the [code](https://github.com/facebookresearch/jepa/blob/main/evals/video_c…