DHOG

Reported on 3 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 Vision3 results

Image ClusteringonCIFAR-10
ARI· uses extra data· 2020-03-13
0.492
best: 0.989 (TURTLE (CLIP + DINOv2))
SOTA
DHOG: Deep Hierarchical Object Grouping arXiv:2003.08821
Image ClusteringonCIFAR-10
Accuracy· uses extra data· 2020-03-13
0.666
best: 0.995 (TURTLE (CLIP + DINOv2))
DHOG: Deep Hierarchical Object Grouping arXiv:2003.08821
Image ClusteringonCIFAR-10
NMI· uses extra data· 2020-03-13
0.585
best: 0.985 (TURTLE (CLIP + DINOv2))
DHOG: Deep Hierarchical Object Grouping arXiv:2003.08821