LAION-C supplies six novel corruptions that stay OOD for web-scale training sets and demonstrates that leading models now rival or exceed human robustness on them.
A more subtle distribution shift which still caused considerable drops in model performance for ImageNet-trained models, was proposed by Recht et al
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LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
LAION-C supplies six novel corruptions that stay OOD for web-scale training sets and demonstrates that leading models now rival or exceed human robustness on them.