ImageNet-C
Introduced by Hendrycks et al. in Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
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 PruningBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ImageNet-C
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DINOv2
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ImageNet-C
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EfficientNet-L2+RPL
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ImageNet-C
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DeiT-S
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Papers
| Paper | Code | Results | Date | Stars |
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