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ConCURL

Reported on 14 benchmarks across 1 task · 1 paper · 3 SOTA

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

Computer Vision14 results

Image ClusteringonImagenet-dog-15
ARI· 2021-05-04
0.531
best: 0.879 (MAE-CT (best))
SOTA
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonImagenet-dog-15
Accuracy· 2021-05-04
0.695
best: 0.943 (MAE-CT (best))
SOTA
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonImagenet-dog-15
NMI· 2021-05-04
0.63
best: 0.904 (MAE-CT (best))
SOTA
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonImageNet-10
ARI· 2021-05-04
0.909
best: 0.935 (DPAC)
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonImageNet-10
Accuracy· 2021-05-04
0.958
best: 0.992 (TAC)
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonImageNet-10
NMI· 2021-05-04
0.907
best: 0.985 (TAC)
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-10
ARI· 2021-05-04
0.715
best: 0.989 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-10
Accuracy· 2021-05-04
0.846
best: 0.995 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-10
NMI· 2021-05-04
0.762
best: 0.985 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-100
ARI· 2021-05-04
0.303
best: 0.834 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-100
Accuracy· 2021-05-04
0.479
best: 0.898 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonCIFAR-100
NMI· 2021-05-04
0.468
best: 0.915 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonSTL-10
Accuracy· uses extra data· 2021-05-04
0.749
best: 0.997 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289
Image ClusteringonSTL-10
NMI· uses extra data· 2021-05-04
0.636
best: 0.993 (TURTLE (CLIP + DINOv2))
Representation Learning for Clustering via Building Consensus arXiv:2105.01289