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.
Aurora-5 experimental framework for the performance evaluation of speech recognition in case of a hands-free speech input in noisy environments
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
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.