ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet pre-training resolutions
32.48PSNR
8
Tiny-ImageNet
88.6Baseline Mean TA
8
ImageNet LT 2019 (test)
66.2Accuracy (Many)
8
ImageNet-1K 100% labels (train)
84.2Top-1 Accuracy
8
Tiny-ImageNet Dirichlet 0.1
178Acc @20
8
ImageNet 1K
4.19ECE
8
ImageNet-1K (test)
0.807Accuracy
8
ImageNet
90.43Attribution Accuracy
8
ImageNet
23.92LDS
8
ImageNet-1k-mini
0.628Area
8
ImageNet-1k-mini
0.029Area Metric
8
ImageNet (val)
1Robust Accuracy (Inc-v3)
8
ImageNet FGSM
56.9Top-1 Accuracy
8
ImageNet full 1k (test)
81.8Top-1 Accuracy
8
ImageNet-LT
30.02Clean Accuracy
8
ImageNet 1k (val)
22.4Top-1 Error
8
TinyImageNet
0.436F1 Score
8
IMAGENET-R
87.64Accuracy
8
ImageNet-1K
24.53Robust Accuracy
8
ImageNet (val)
-94.56BD-Rate
8
ImageNet-1k (val)
-89Delta Top-1 Acc (%)
8
ImageNet 10/50-class
62.7Accuracy
8
ImageNet30 Snow Corruption
88.2Accuracy (Severity 0)
8
ImageNet100 O=0 overlap
37.32Average Accuracy
8
ImageNet100 O=2 overlap
39.58Average Accuracy (AA)
8