Introduces ImageNet-C and ImageNet-P benchmarks revealing negligible robustness gains from AlexNet to ResNet models on common corruptions and perturbations, plus methods to improve them.
Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness
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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Introduces ImageNet-C and ImageNet-P benchmarks revealing negligible robustness gains from AlexNet to ResNet models on common corruptions and perturbations, plus methods to improve them.