Fine-grained Clustering on Stanford Cars
90NMIGCPM-E
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GCPM-Eclustering_algorithm=K-Means, known # of clusters=true2026.06 | 90 | 74.6 | |
| GCPM-Iclustering_algorithm=K-Means, known # of clusters=true2026.06 | 87.7 | 69.4 | |
| GCPM-Gclustering_algorithm=K-Means, known # of clusters=true2026.06 | 86.2 | 66.3 | |
| GCPM-E + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 83.4 | — | |
| GCPM-I + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 81.2 | — | |
| GCPM-G + MST Traversalclustering_algorithm=HDBSCAN, known # of clusters=false, MST Traversal=true2026.06 | 80.9 | — | |
| GCPM-Eclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 80.2 | — | |
| GCPM-Gclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 78.8 | — | |
| GCPM-Iclustering_algorithm=HDBSCAN, known # of clusters=false2026.06 | 78.3 | — | |
| DiFiCknown # of clusters=true2026.06 | 68 | 47.2 | |
| UFCLknown # of clusters=false2026.06 | 46.5 | — | |
| SeCuknown # of clusters=true2026.06 | 39 | 10 | |
| SCANknown # of clusters=true2026.06 | 38 | 8.8 | |
| MoCoknown # of clusters=true2026.06 | 37 | 8 | |
| SDknown # of clusters=true2026.06 | 37 | 9.1 | |
| MixNMatchknown # of clusters=true2026.06 | 36 | 7.9 | |
| FineGANknown # of clusters=true2026.06 | 35 | 7.8 | |
| SimCLRknown # of clusters=true2026.06 | 33 | 6.7 | |
| C3-GANknown # of clusters=true2026.06 | 33 | 8.3 | |
| InfoGANknown # of clusters=true2026.06 | 31 | 6.5 | |
| IICknown # of clusters=true2026.06 | 27 | 4.9 | |
| OneGANknown # of clusters=true2026.06 | 27 | 6 |