Image Classification
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
0.617Accuracy (A/D)
6
Feb 26, 2026
0.675Accuracy (A->D)
6
Feb 26, 2026
90KNN Accuracy
6
Feb 26, 2026
53.6Accuracy
6
Feb 26, 2026
43.4Accuracy
6
Feb 26, 2026
65Accuracy
6
Feb 26, 2026
82.7ImageNet (ID) Accuracy
6
Feb 26, 2026
73.79Accuracy
6
Feb 26, 2026
75.6Top-1 Acc
6
Feb 26, 2026
70.1Harmonic Mean Acc
6
Feb 26, 2026
65.23Cleantr
6
Feb 26, 2026
71.87Accuracy
6
Feb 26, 2026
85.98Accuracy
6
Feb 26, 2026
-16.3BG Gap
6
Feb 26, 2026
53.06Top-1 Error Rate
6
Feb 26, 2026
31.02Top-1 Error Rate
6
Feb 26, 2026
3.88Top-1 Error
6
Feb 26, 2026
4.22Top-1 Error Rate
6
Feb 26, 2026
7.1Top-1 Error Rate
6
Feb 26, 2026
20.06Top-1 Error Rate
6
Feb 26, 2026
10 Diverse Domains (AwA, Caltech, CIFAR10, Daimler, GTSR, MNIST, Omniglot, Plankton, Sketches, SVHN)
73.1AwA Error Rate (Top-1)
6
Feb 26, 2026
81.73Accuracy
6
Feb 26, 2026
0.919NLL
6
Feb 26, 2026
96.2Top-1 Acc
6
Feb 26, 2026
83.4Mean Accuracy
6
Feb 26, 2026