Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DCCM

DCCM

Reported on 13 benchmarks across 1 task · 1 paper · 10 SOTA

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

Computer Vision13 results

Image ClusteringonImageNet-10
Accuracy· 2019-04-15
0.71
best: 0.992 (TAC)
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonImageNet-10
NMI· 2019-04-15
0.608
best: 0.985 (TAC)
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonCIFAR-10
Accuracy· uses extra data· 2019-04-15
0.623
best: 0.995 (TURTLE (CLIP + DINOv2))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonTiny-ImageNet
NMI· 2019-04-15
0.224
best: 0.8178 (ITAE)
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonCIFAR-100
Accuracy· uses extra data· 2019-04-15
0.327
best: 0.898 (TURTLE (CLIP + DINOv2))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonCIFAR-100
NMI· uses extra data· 2019-04-15
0.285
best: 0.915 (TURTLE (CLIP + DINOv2))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonSTL-10
Accuracy· uses extra data· 2019-04-15
0.482
best: 0.997 (TURTLE (CLIP + DINOv2))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonSTL-10
NMI· uses extra data· 2019-04-15
0.376
best: 0.993 (TURTLE (CLIP + DINOv2))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonImagenet-dog-15
Accuracy· 2019-04-15
0.383
best: 0.943 (MAE-CT (best))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonImagenet-dog-15
NMI· 2019-04-15
0.321
best: 0.904 (MAE-CT (best))
SOTA
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonCIFAR-10
ARI· uses extra data· 2019-04-15
0.408
best: 0.989 (TURTLE (CLIP + DINOv2))
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonCIFAR-10
NMI· uses extra data· 2019-04-15
0.496
best: 0.985 (TURTLE (CLIP + DINOv2))
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925
Image ClusteringonTiny-ImageNet
Accuracy· 2019-04-15
0.108
best: 0.698 (PRO-DSC)
Deep Comprehensive Correlation Mining for Image Clustering arXiv:1904.06925