Clustering on ImageNet-Dogs (test)
0.862NMILAIC framework
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LAIC framework2026.03 | 0.862 | 88 | 0.826 | |
| TAC2026.03 | 0.809 | 83.3 | 0.72 | |
| MCA2026.03 | 0.733 | 74.9 | 0.616 | |
| SIC2026.03 | 0.69 | 69.7 | 0.558 | |
| LFSS2026.03 | 0.619 | 69.3 | 0.531 | |
| TCC2021.06 | 0.554 | 59.5 | 0.417 | |
| IDFD2021.06 | 0.546 | 59.1 | 0.413 | |
| CC2023.03 | 0.445 | 42.9 | 0.274 | |
| CC2021.06 | 0.445 | 42.9 | 0.274 | |
| MiCE2021.06 | 0.423 | 43.9 | 0.286 | |
| CoHiClust2023.03 | 0.411 | 35.5 | 0.232 | |
| PICA2023.03 | 0.352 | 35.2 | 0.201 | |
| MoCo baselinestages=two-stage2021.06 | 0.347 | 33.8 | 0.197 | |
| PICA2021.06 | 0.336 | 32.4 | 0.179 | |
| DCCM2023.03 | 0.321 | 38.3 | 0.182 | |
| DCCM2021.06 | 0.321 | 38.3 | 0.182 | |
| GATCluster2021.06 | 0.281 | 32.2 | 0.163 | |
| MMDC2021.06 | 0.274 | 11.9 | — | |
| DAC2023.03 | 0.219 | 27.5 | 0.111 | |
| DAC2021.06 | 0.219 | 27.5 | 0.111 | |
| DEC2023.03 | 0.122 | 19.5 | 0.079 | |
| DEC2021.06 | 0.122 | 19.5 | 0.079 | |
| DCGAN2023.03 | 0.121 | 17.4 | 0.078 | |
| DCGAN2021.06 | 0.121 | 17.4 | 0.078 | |
| VAE2023.03 | 0.107 | 17.9 | 0.079 | |
| VAEevaluation_strategy=k-means on features2021.06 | 0.107 | 17.9 | 0.079 | |
| AE2023.03 | 0.104 | 18.5 | 0.073 | |
| DAE2023.03 | 0.104 | 19 | 0.078 | |
| AEevaluation_strategy=k-means on features2021.06 | 0.104 | 18.5 | 0.073 | |
| DAE2021.06 | 0.104 | 19 | 0.078 | |
| DeCNN2023.03 | 0.098 | 17.5 | 0.073 | |
| DeCNN2021.06 | 0.098 | 17.5 | 0.073 | |
| K-means2023.03 | 0.055 | 10.5 | 0.02 | |
| JULE2023.03 | 0.054 | 13.8 | 0.028 | |
| JULE2021.06 | 0.054 | 13.8 | 0.028 | |
| NMF2023.03 | 0.044 | 11.8 | 0.016 | |
| NMFevaluation_strategy=k-means on features2021.06 | 0.044 | 11.8 | 0.016 | |
| SC2023.03 | 0.038 | 11.1 | 0.013 | |
| AC2023.03 | 0.037 | 13.9 | 0.021 | |
| AC2021.06 | 0.037 | 13.9 | 0.021 |