ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet 20 (ID) 10 (OOD)
99.01AUROC
4
ImageNet 10 (ID) 20 (OOD)
99.11AUROC
4
ImageNet-C (test)
92.28ASR
4
ImageNet-1K (50k)
3.71FID
4
ImageNet Distribution Shifts IN-R IN-A IN-S V2
85.3ImageNet Accuracy
4
ImageNetVID
80Precision
4
ImageNet1K improved-diffusion-backbone (test)
0.661NINCO AUROC
4
ImageNet 200 improved-diffusion-backbone (test)
0.655NINCO AUROC
4
ImageNet-1K
69.76Accuracy (P)
4
ImageNet-V2 ID Four-OOD average
98.2AUROC
4
ImageNet-Sketch ID Four-OOD
99.56AUROC
4
Tiny ImageNet
59.13Top-1 Accuracy
4
ImageNet-128
27.96Top-1 Accuracy
4
ImageNet (test)
17.9Top-5 Accuracy
4
ImageNet256
0.44LPIPS
4
ImageNet 1024x1024 1k
0.017Inference Time (s/img)
4
ImageNet 256x256 1k
0.005Inference Time (s/img)
4
ImageNet-104 (test)
98.3AUC
4
Seq-Tiny-ImageNet
35.62Average Forgetting
4
ImageNet SPSA
63.47Top-1 Accuracy
4
Tiny-ImageNet 50% (test)
84.2Attack Success Rate (ASR)
4
Tiny-ImageNet
14.58TPR @ 1% FPR
4
ImageNet Distribution-based label imbalance 10 tasks (100 classes per task) beta = 0.5
74.8FAA
4
ImageNet Quantity-based label imbalance 10 tasks (100 classes per task) alpha=60
73.5FAA
4
ImageNet-100
0Embedding Latency (ms/img)
4