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Models/SPICE-BPA

SPICE-BPA

Reported on 9 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 Vision9 results

Image ClusteringonCIFAR-10
ARI· 2024-06-25
0.866
best: 0.989 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonCIFAR-10
Accuracy· 2024-06-25
0.933
best: 0.995 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonCIFAR-10
NMI· 2024-06-25
0.87
best: 0.985 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonCIFAR-100
ARI· 2024-06-25
0.402
best: 0.834 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonCIFAR-100
Accuracy· 2024-06-25
0.55
best: 0.898 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonCIFAR-100
NMI· 2024-06-25
0.56
best: 0.915 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonSTL-10
ARI· 2024-06-25
0.879
best: 0.994 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonSTL-10
Accuracy· 2024-06-25
0.943
best: 0.997 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClusteringonSTL-10
NMI· 2024-06-25
0.88
best: 0.993 (TURTLE (CLIP + DINOv2))
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467