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Models/SCAN (Avg)

SCAN (Avg)

Reported on 8 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

Image ClusteringonCIFAR-10
ARI· 2020-05-25
0.758
best: 0.989 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonCIFAR-10
Accuracy· 2020-05-25
0.876
best: 0.995 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonCIFAR-10
NMI· 2020-05-25
0.787
best: 0.985 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonCIFAR-100
ARI· 2020-05-25
0.301
best: 0.834 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonCIFAR-100
Accuracy· 2020-05-25
0.459
best: 0.898 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonCIFAR-100
NMI· 2020-05-25
0.468
best: 0.915 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonSTL-10
Accuracy· 2020-05-25
0.767
best: 0.997 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320
Image ClusteringonSTL-10
NMI· 2020-05-25
0.68
best: 0.993 (TURTLE (CLIP + DINOv2))
SCAN: Learning to Classify Images without Labels arXiv:2005.12320