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Very interesting work and thanks very much for releasing it publicly. We are working on extending some of your results/studies, could you please provide more information related to Figure 2?
Figure 2 compares several models, but they are not all labeled. I am interested in finding out the accuracy-distortion tradeoff for each model. The figure shows this information at a coarse level, such as to compare all self-supervised models, adversarially trained models, etc. Would be perfect if you could provide the model-name (corresponding to your model zoo) and its corresponding performance at various distortion levels for the 12 distortion types that are considered.
Thanks again, looking forward to hearing from you!
The text was updated successfully, but these errors were encountered:
Very interesting work and thanks very much for releasing it publicly. We are working on extending some of your results/studies, could you please provide more information related to Figure 2?
Figure 2 compares several models, but they are not all labeled. I am interested in finding out the accuracy-distortion tradeoff for each model. The figure shows this information at a coarse level, such as to compare all self-supervised models, adversarially trained models, etc. Would be perfect if you could provide the model-name (corresponding to your model zoo) and its corresponding performance at various distortion levels for the 12 distortion types that are considered.
Thanks again, looking forward to hearing from you!
The text was updated successfully, but these errors were encountered: