ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-1K Subset Eval Original (val)
79.85Base Accuracy
7
ImageNet-1K Corruption Type 3
39.85Test Accuracy
7
ImageNet-1K Corruption Type 2
35.46Accuracy
7
ImageNet-1K Corruption Type 1
38.58Accuracy (Corruption Type 1)
7
ImageNet-1K Clean (test)
69.78Test Accuracy
7
ImageNet-1k
75.3Accuracy
7
Tiny-ImageNet
64.17Total Accuracy (TA)
7
ImageNet-1k (Forget set)
6.39Inception Score (IS)
7
ImageNet 1k Retain set (R)
6.21Inception Score (IS)
7
ImageNet misclassified samples (val)
0.483Insertion Score
7
ImageNet-64
15.84PSNR
7
ImageNet-64
18.41PSNR
7
ImageNet
0.219LPIPS
7
ImageNet-100 10 tasks, 10 classes per task
85.7Accuracy
7
ImageNet-100 20 tasks 5 classes per task (test)
86.26Accuracy
7
ImageNet-1k (generations)
97.24Density
7
ImageNet
60.1Accuracy
7
ImageNet
98.2AUROC
7
ImageNet Far Shift
98.51AUROC (Far Shift)
7
ImageNet Near Shift
97.89AUROC
7
Tiny-ImageNet Average
99.77AUROC
7
Tiny-ImageNet Far Covariate Shift
99.64AUROC
7
Tiny-ImageNet Near Covariate Shift
1AUROC
7
TinyImageNet
73.74Clean Accuracy
7
ImageNet (test)
76.94Base Score
7