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Hello,
I want to compare the operations your Faster AA system selects after training with other systems. I am referring to the following file faster_autoaugment\policy.py.
I tried to print the …
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Hello,
Thanks you for sharing your good work. You showed in the Appendix, Table 3 that your class-wise and sample-wise noise is unstable when the model is trained with Fast AutoAugment. In the foll…
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### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
### What happened?
I'm trying to follow the guide: https://github.com/AUTOMA…
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### 问题确认 Search before asking
- [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues),没有发现相似的bug。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issu…
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Hi,
I am trying to replicate your work. I can't find your found policies's weights on these benchmarks yet. I looked into Fig.5 in the Faster AutoAugment paper. For confirmation, does the Figure sh…
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Hello,
I saw you keep track of the total training loss using the following code at
[https://github.com/moskomule/dda/blob/3ffe718e253a77ecb8b4e638d851f0d3d248c111/faster_autoaugment/search.py#L17…
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RT. Thanks for your re-implement.
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**Is your feature request related to a problem? Please describe.**
I recently discoved auto augmentation methods for regular images in pytorch/torchvision docs (e.g. https://pytorch.org/vision/main/g…
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The following represents a high-level overview of our 2023 plan. You should be aware that this roadmap may change at any time and the order below does not reflect any type of priority.
We strongly …
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## 🚀 Feature
Implement TrivialAugment and RandAugment
Links to papers:
- TrivialAugment: https://arxiv.org/abs/2103.10158
- RandAugment: https://arxiv.org/abs/1909.13719
## Motivation
…