ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-SK (test)
36Top-1 Accuracy
34
ImageNet 1k (test)
53FGSM Robustness
34
ImageNet-1k (val)
84Top-1 Acc
34
ImageNet mini (test)
0.008ECE
34
ImageNet-1K
98.64ASR (%)
34
ImageNet Subset
72.2Top-1 Incremental Acc
34
ImageNet-200
62.14Accuracy
34
ImageNet-A 1.0 (val)
74.5Top-1 Acc
34
ImageNet LT 2018 (test)
56.6Top-1 Acc
34
Tiny ImageNet
14.65Inception Score
34
ImageNet-C
62.16Average Classification Error
33
ImageNet BLIP-2
99Detection Rate
33
ImageNet 1K
77.4Accuracy
33
Tiny-ImageNet 10 tasks
74.82Accuracy
33
ImageNet 1k
70.02Top-1 Accuracy
33
ImageNet 1k
4Required Sample Count
33
ImageNet-100 (ID) vs TEXTURES (OOD)
99.58AUROC
33
ImageNet
52.8Average Robust Accuracy
33
ImageNet
92Utility Preservation
33
ImageNet-50
80.8Accuracy
33
ImageNet
82.4Top-1 Accuracy
33
ImageNet-1K 512x512 (val)
1.88FID
33
ImageNet 1K
1.04NAURC
33
ImageNet
99.51Robustness - Scaling
33
ImageNet-O
51.34Accuracy
33