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CIFAR-10-C and ImageNet-C
The dataset used in the paper is CIFAR-10-C and ImageNet-C, which are common corruption benchmarks. -
Dynamic Batch Norm Statistics Update for Natural Robustness
CIFAR10-C and ImageNet-C datasets are used to evaluate the proposed framework for improving the natural robustness of trained DNNs against corrupted inputs. -
ImageNet-C
The dataset used in the paper is the ImageNet-C dataset, which is a dataset of images corrupted with various types of noise and occlusions.