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Models/SeCu

SeCu

Reported on 11 benchmarks across 2 tasks · 1 paper

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

Computer Vision11 results

Image ClusteringonCIFAR-10
ARI· 2023-11-24
0.857
best: 0.989 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonCIFAR-10
Accuracy· 2023-11-24
0.93
best: 0.995 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonCIFAR-10
NMI· 2023-11-24
0.861
best: 0.985 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonSTL-10
ARI· 2023-11-24
0.693
best: 0.994 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonSTL-10
Accuracy· 2023-11-24
0.836
best: 0.997 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonSTL-10
NMI· 2023-11-24
0.733
best: 0.993 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonImageNet
ARI· 2023-11-24
41.9
best: 62.5 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonImageNet
Accuracy· 2023-11-24
53.5
best: 72.9 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClusteringonImageNet
NMI· 2023-11-24
79.4
best: 88.2 (TURTLE (CLIP + DINOv2))
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClassificationonCIFAR-10
Accuracy· 2023-11-24
93
best: 99.612 (efficient adaptive ensembling)
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310
Image ClassificationonCIFAR-20
Accuracy· 2023-11-24
55.2
best: 73.2 (MV-MR)
Stable Cluster Discrimination for Deep Clustering arXiv:2311.14310