ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 2-hop split
26.6Flat Hit@1
15
ImageNet 100
18.2Last-task Forgetting (Flast)
14
ImageNet
0.948AUC Score
14
ImageNet
78.27Base Accuracy
14
ImageNet mini
88.051-Shot Accuracy
14
ImageNet-1K (train val)
8.9FID
14
ImageNet1K Independently Pretrained Models setting 1.0
76.62CMC-Top1
14
ImageNet (test)
41.04PSNR
14
ImageNet
92.74ADM AUROC
14
Tiny-ImageNet three-class forgetting (test)
50.85MBS
14
ImageNet-100 B0 Inc10
81.44Last Accuracy
14
ImageNet-1K 2009 (test)
71.59Accuracy
14
ImageNet100 (In-distribution) vs SUN (OOD) (test)
3.3FPR@95
14
ImageNet-1K IMG12 (val)
84.2Top-1 Accuracy
14
ImageNet 1K (val)
83.4Zero-Shot Accuracy
14
Tiny-ImageNet
0.92AdaECE
14
ImageNet-1k (val)
0.94MACs (G)
14
ImageNet 256 (test)
23.74PSNR
14
ImageNet-C with Textures-C outliers 1.0 (test)
46.8Accuracy
14
ImageNet-R 10 tasks rho=0.01
72.1Accuracy Last Task
14
ImageNet (val)
71.08Top-1 Accuracy (Full Precision)
14
ImageNet Gaussian Blur sigma=12
0.3LPIPS
14
ImageNet Gaussian Blur sigma=3
0.16LPIPS
14
ImageNet 16x scale
0.27LPIPS
14
ImageNet 4x scale
0.12LPIPS
14