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Add new transforms from https://arxiv.org/abs/1903.12261

See original GitHub issue

There is a set of Pixel Level transforms that is used in the work Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

The authors also share the code => we can absorb some transforms that they have into the library.

https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py

ShotNoise
Defocus
GlassBlur
Zoom Blur
Pixelate
Frost
Spatter

Issue Analytics

State:
Created 4 years ago
Comments:8 (4 by maintainers)

Top GitHub Comments

1reaction

akarsakovcommented, Mar 12, 2020

That’s great point! Moreover looks like it would be better to allow setting list of desired images as template and pick the random one.

1reaction

akarsakovcommented, Mar 3, 2020

@ternaus I’d like to take up this enhancement.

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