ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet (test)
0.97R (Feature Relevance)
60
ImageNet-1k
79.7Top-1 Accuracy
59
ImageNet FS (novel)
0.826Top-5 Acc
59
Imagenet Dogs
74.5ACC
59
ImageNet (val)
81.4Top-1 Accuracy (Baseline)
59
ImageNet-1k (val)
84.1Top-1 Accuracy
59
ImageNet vehicles
74.6Fidelity Score
58
ImageNet vehicles
63.4IoU
58
ImageNet Far-OOD
98.5AUROC
58
ImageNet 256x256
4.98FID
58
ImageNet 1k (test)
94.28Average AUROC
58
ImageNet subset
79.52Average Accuracy
58
ImageNet (test val)
78.6Accuracy
58
ImageNet ILSVRC 2012 (val)
18.77Top-1 Error
58
ImageNet 1k (train)
88.58Top-1 Accuracy
58
Tiny ImageNet Split
26Forgetting Rate
57
ImageNet Split Tiny
38.7Avg Accuracy
57
ImageNet variants (V2, S, A, R) (test)
67.03ImageNet-V2 Accuracy
57
Tiny ImageNet
68.57Validation Accuracy
57
Tiny-ImageNet (test)
1.22ECE
57
ImageNet-1k 1.0 (val)
0.849Top-1 Accuracy
57
ImageNet-1K (fine-tuning)
86.8Accuracy (FT)
57
ImageNet
27.46PSNR
57
ImageNet-1K (val)
100ASR
57
ImageNet 1k (val)
81.4CR-F
57