ImageNet-C
ImagesCC BY 4.0Introduced 2019-01-01
ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set.
Source: Selective Brain Damage: Measuring the Disparate Impact of Model Pruning Image Source: https://arxiv.org/pdf/1807.01697.pdf
Benchmarks
Adversarial Robustness/mean Corruption Error (mCE)Domain Adaptation/mean Corruption Error (mCE)Domain Adaptation/Top 1 AccuracyDomain Adaptation/Number of paramsDomain Adaptation/Mean AccuracyDomain Generalization/mean Corruption Error (mCE)Domain Generalization/Top 1 AccuracyDomain Generalization/Number of paramsUnsupervised Domain Adaptation/mean Corruption Error (mCE)