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Skin

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationSkin8
Last Step Accuracy67.73
18
Outlier Detectionskin (historical)
AUROC83.12
17
Medical Image ClassificationSkin
Top-1 Accuracy51.91
16
Outlier Detectionskin (Group II)
AUROC83.12
14
Pairwise-constrained clusteringSkin
SSE895,000,000
12
Pathology Image ClassificationSkin-C corrupted (test)
Accuracy50.65
12
Classificationskin UCI (test)
Accuracy99.7
11
Out-of-Distribution DetectionSkin40 (test)
Accuracy76.75
9
Interactive SegmentationSkin
mIoU69.3
8
Continual ClusteringSkin
AI NMI81.3
8
Spatially resolved gene expression predictionSkin
MSE0.208
7
Medical Image ClassificationSkin II Harmonic Mean
Accuracy (ACC)33.1
6
Medical Image ClassificationSkin II Low-End Target
Accuracy31.6
6
Medical Image ClassificationSkin II High-End Source
Accuracy40.7
6
Medical Image ClassificationSkin I Harmonic Mean
Accuracy (ACC)50.9
6
Medical Image ClassificationSkin I Low-End Target
Accuracy46.4
6
Medical Image ClassificationSkin High-End Source I
Accuracy58.3
6
Histopathology Image ClassificationSkin-C
Accuracy33.81
6
Histopathology Image ClassificationSkin
Accuracy50.62
6
Image ClassificationSkin Clean (test)
Accuracy64.32
6
Pathology Image ClassificationSkin clean (test)
Accuracy68.34
6
Active Prompting for Image SegmentationSkin
Peak Normalized Delta IoU45.89
5
Constitutive ModelingSkin
R² Strip-X (λ2=1), Stress 1100
3
ClusteringSkin
ARI0.327
2
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