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Models/IDFD

IDFD

Reported on 16 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 Vision16 results

Image ClusteringonImageNet-10
ARI· 2021-05-31
0.901
best: 0.935 (DPAC)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImageNet-10
Accuracy· 2021-05-31
0.954
best: 0.992 (TAC)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImageNet-10
Image Size· 2021-05-31
96
best: 224 (ProPos*)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImageNet-10
NMI· 2021-05-31
0.898
best: 0.985 (TAC)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-10
ARI· uses extra data· 2021-05-31
0.663
best: 0.989 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-10
Accuracy· uses extra data· 2021-05-31
0.815
best: 0.995 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-10
NMI· uses extra data· 2021-05-31
0.711
best: 0.985 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-100
ARI· 2021-05-31
0.264
best: 0.834 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-100
Accuracy· 2021-05-31
0.425
best: 0.898 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonCIFAR-100
NMI· 2021-05-31
0.426
best: 0.915 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonSTL-10
Accuracy· 2021-05-31
0.756
best: 0.997 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonSTL-10
NMI· 2021-05-31
0.643
best: 0.993 (TURTLE (CLIP + DINOv2))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImagenet-dog-15
ARI· 2021-05-31
0.413
best: 0.879 (MAE-CT (best))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImagenet-dog-15
Accuracy· 2021-05-31
0.591
best: 0.943 (MAE-CT (best))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImagenet-dog-15
Image Size· 2021-05-31
96
best: 224 (MAE-CT (best))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131
Image ClusteringonImagenet-dog-15
NMI· 2021-05-31
0.546
best: 0.904 (MAE-CT (best))
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation arXiv:2106.00131