hendrycks / Imagenet R
Licence: mit
ImageNet-R(endition) and DeepAugment
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python
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The Many Faces of Robustness
The repository contains code, datasets, and model parameters for The Many Faces of Robustness.
ImageNet-R
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
ImageNet-R has renditions of 200 ImageNet classes resulting in 30,000 images.
Other Resources
This repository also contains code for DeepAugment and DeepFashion Remixed experiments.
Real Blurry Images are available for download here.
Weights for a ResNet-50 ImageNet classifier trained with DeepAugment are available here.
Weights for a ResNet-50 ImageNet classifier trained with DeepAugment+AugMix are available here.
Weights for a ResNeXt-101 (32x8d) ImageNet classifier trained with DeepAugment+AugMix are available here.
Citation
If you find this useful in your research, please consider citing:
@article{hendrycks2020many,
title={The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization},
author={Dan Hendrycks and Steven Basart and Norman Mu and Saurav Kadavath and Frank Wang and Evan Dorundo and Rahul Desai and Tyler Zhu and Samyak Parajuli and Mike Guo and Dawn Song and Jacob Steinhardt and Justin Gilmer},
journal={arXiv preprint arXiv:2006.16241},
year={2020}
}
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