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Models/CoHiClust

CoHiClust

Reported on 17 benchmarks across 1 task · 1 paper · 1 SOTA

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

Computer Vision17 results

  • Image ClusteringonMNIST
    Accuracy· 2023-03-03
    0.99
    best: 97.8 (TURTLE (CLIP + DINOv2))
    SOTA
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonFashion-MNIST
    Accuracy· 2023-03-03
    0.65
    best: 0.791 (PRCut (DinoV2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImageNet-10
    ARI· 2023-03-03
    0.899
    best: 0.935 (DPAC)
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImageNet-10
    Accuracy· 2023-03-03
    0.953
    best: 0.992 (TAC)
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImageNet-10
    NMI· 2023-03-03
    0.907
    best: 0.985 (TAC)
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-10
    ARI· 2023-03-03
    0.731
    best: 0.989 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-10
    Accuracy· 2023-03-03
    0.839
    best: 0.995 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-10
    NMI· 2023-03-03
    0.779
    best: 0.985 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-100
    ARI· 2023-03-03
    0.299
    best: 0.834 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-100
    Accuracy· 2023-03-03
    0.437
    best: 0.898 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonCIFAR-100
    NMI· 2023-03-03
    0.467
    best: 0.915 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonSTL-10
    ARI· 2023-03-03
    0.474
    best: 0.994 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonSTL-10
    Accuracy· 2023-03-03
    0.613
    best: 0.997 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonSTL-10
    NMI· 2023-03-03
    0.584
    best: 0.993 (TURTLE (CLIP + DINOv2))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImagenet-dog-15
    ARI· 2023-03-03
    0.232
    best: 0.879 (MAE-CT (best))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImagenet-dog-15
    Accuracy· 2023-03-03
    0.355
    best: 0.943 (MAE-CT (best))
    Contrastive Hierarchical ClusteringarXiv:2303.03389
  • Image ClusteringonImagenet-dog-15
    NMI· 2023-03-03
    0.411
    best: 0.904 (MAE-CT (best))
    Contrastive Hierarchical ClusteringarXiv:2303.03389