ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet100 label noise
100F1 Score
10
ImageNet 128x128 (test val)
0.81rFID
10
Tiny ImageNet Multi-level [9, 15, 22] (test)
65.3Accuracy
10
Tiny ImageNet Client-wise α = 0.1 (test)
60.46Accuracy
10
Tiny ImageNet Cluster-wise (50, 5) (test)
46.8Accuracy
10
ImageNet ES
77.98AUROC
10
ImageNet-R
88.08AUROC
10
Tiny-ImageNet
50.63ACC
10
ImageNet 256
1.88ImageReward
10
ImageNet
15.52Inception FID
10
ImageNet 256 (test)
38.7Extrema FID
10
ImageNet 1K 2015 (train val)
3.56FID
10
ImageNet 2015 (train)
3.43FID
10
ImageNet 256x256 2012 (val)
5.76FID
10
ImageNet-R and ImageNet-O (test)
43.76Accuracy
10
ImageNet 21k ViT-B/16 tokens
1LLM Rank
10
Split miniImageNet (test)
57.9AutoAttack AA
10
miniImageNet Split
17.9AutoAttack AA (%)
10
ImageNet-R 50 tasks
82.76Last Accuracy
10
ImageNet Covariate-shifted OOD vs. Semantic-shifted OOD 1k (test)
61.25FPR@95% TPR
10
ImageNet ID vs. Semantic-shifted OOD 1k (test)
46.4FPR@95%TPR
10
ImageNet OOD Variants V2 Sketch A R (test val)
69.92ImageNet Accuracy
10
ImageNet (test)
93.48TA
10
ImageNet 256
0.7Time (s)
10
ImageNet 256
0.7Time (s)
10