Fine-grained Clustering on Oxford Flowers
94.9NMIGCPM-G
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GCPM-Gclustering_algorithm=K-Means, known # of clusters=true2026.06 | 94.9 | 86 | |
| GCPM-Eclustering_algorithm=K-Means, known # of clusters=true2026.06 | 90.6 | 77.4 | |
| GCPM-Iclustering_algorithm=K-Means, known # of clusters=true2026.06 | 89 | 73.9 | |
| GCPM-G + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 88.6 | — | |
| GCPM-Gclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 88.2 | — | |
| DiFiCknown # of clusters=true2026.06 | 88 | 72.9 | |
| GCPM-E + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 84.2 | — | |
| SeCuknown # of clusters=true2026.06 | 84 | 68.6 | |
| GCPM-Eclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 82.7 | — | |
| GCPM-I + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 77.5 | — | |
| SCANknown # of clusters=true2026.06 | 77 | 56.5 | |
| GCPM-Iclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 75.9 | — | |
| C3-GANknown # of clusters=true2026.06 | 72 | 55.6 | |
| UFCLknown # of clusters=false2026.06 | 70.7 | — | |
| MoCoknown # of clusters=true2026.06 | 68 | 51.5 | |
| InfoGANknown # of clusters=true2026.06 | 44 | 23.2 | |
| SDknown # of clusters=true2026.06 | 34 | 13.1 | |
| SimCLRknown # of clusters=true2026.06 | 29 | 12.5 | |
| IICknown # of clusters=true2026.06 | 24 | 8.7 |