ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet
1.84Runtime (s)
7
ImageNet (val)
88.47Peak Validation Range
7
ImageNet
91.4Max MIM
7
ImageNet 256
0.7Latency (s)
7
Tiny-ImageNet
52.6Personalized Accuracy
7
ImageNet-R-20 (Target)
84Accuracy (D_tar,1)
7
ImageNet R-5
85D_tar,1
7
ImageNet-R-50 (target)
83D_tar Metric 1
7
ImageNet 100 images (val)
26.741PSNR
7
ImageNet 100 images (val)
30.215PSNR
7
ImageNet
74.18HM
7
MiniImageNet incremental static
61.31Accuracy (Session 0)
7
ImageNet 512 (val)
48.66FID
7
ImageNet 512 (val)
41.81FID
7
ImageNet 512 (val)
28.19FID
7
ImageNet 100 IPC=1 (train val)
95.1DINOv2 Score
7
ImageNet 1K (FID50K)
9.85FID
7
ImageNet-1K (val)
88.9Top-1 Accuracy
7
Split-ImageNet 10 tasks
64.7Avg Acc
7
ImageNet 1K V2 (train)
85.73ASR
7
Tiny-ImageNet 10 (test)
88.23Accuracy (ACC)
7
ImageNet
61.86Clean Accuracy
7
ImageNet 92% mask 256x256 (val)
24.1PSNR
7
ImageNet x16 256x256 (val)
19.09PSNR
7
ImageNet x4 256x256 (val)
24.99PSNR
7