ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Tiny ImageNet
51.7CTA
43
ImageNet
85.62Accuracy
43
ImageNet-1k (ID) vs Textures (OOD)
98.48AUROC
43
ImageNet-C Severity 5
6Error Rate (Gaussian)
43
ImageNet-1K (test)
80.9Accuracy
43
Tiny-ImageNet (train)
99.9Forgetting Accuracy (Train)
43
ImageNet 256x256 2012 (val)
0.27rFID
43
ImageNet V2 (val)
80.9Top-1 Accuracy
43
mini-ImageNet (test)
70.88Accuracy
43
ImageNet Real 1.0 (val)
90.2Real Top-1 Acc
43
ImageNet 1k (val)
75.8Top-1 Acc
43
ImageNet
100TPR@1%FPR
42
TinyImageNet
87.5C-Acc
42
ImageNet-1k
78.55Accuracy
42
ImageNet 10
0.266NLL
42
ImageNet A, R, S V2 (test)
64.63Accuracy (ImageNet-A)
42
ImageNet (test)
9.91Mean L2 Distortion (2K Budget)
42
ImageNet 256x256 50k images (val)
7.45FID
42
ImageNet-1K 1.0 (val)
0.62rFID
42
Tiny-ImageNet (test)
40.11Avg Accuracy
42
Tiny-ImageNet
11.55Average Forgetting
42
ImageNet-1K (val)
83.8Top-1 Accuracy
42
ImageNet-127 (test)
68.4Accuracy
42
ImageNet-1K
91Top-1 Accuracy
42
ImageNet-100 B=50, C=10 1.0
86.64Avg Incremental Acc
42