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Models/CoKe

CoKe

Reported on 8 benchmarks across 2 tasks · 2 papers

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

Computer Vision8 results

Image ClusteringonImageNet
ARI· 2023-11-24
35.6
best: 62.5 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonImageNet
Accuracy· 2023-11-24
47.6
best: 72.9 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonImageNet
NMI· 2023-11-24
76.2
best: 88.2 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonCIFAR-10
ARI· 2021-05-24
0.732
best: 0.989 (TURTLE (CLIP + DINOv2))
Unsupervised Visual Representation Learning by Online Constrained K-Means arXiv:2105.11527
Image ClusteringonCIFAR-10
Accuracy· 2021-05-24
0.857
best: 0.995 (TURTLE (CLIP + DINOv2))
Unsupervised Visual Representation Learning by Online Constrained K-Means arXiv:2105.11527
Image ClusteringonCIFAR-10
NMI· 2021-05-24
0.766
best: 0.985 (TURTLE (CLIP + DINOv2))
Unsupervised Visual Representation Learning by Online Constrained K-Means arXiv:2105.11527
Image ClassificationonCIFAR-10
Accuracy· 2021-05-24
85.7
best: 99.612 (efficient adaptive ensembling)
Unsupervised Visual Representation Learning by Online Constrained K-Means arXiv:2105.11527
Image ClassificationonCIFAR-20
Accuracy· 2021-05-24
49.7
best: 73.2 (MV-MR)
Unsupervised Visual Representation Learning by Online Constrained K-Means arXiv:2105.11527