Classification on COIL-20 (test)
95.97Classification Accuracy (ACCcls)MRDD-cs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MRDD-cs2024.03 | 95.97 | 96.15 | |
| UNITER2024.03 | 91.27 | 90.58 | |
| Multi-VAE2024.03 | 90.39 | 89.32 | |
| CMClatent representation dimensionality=102024.03 | 89.16 | 89.15 | |
| MRDD-c2024.03 | 88.18 | 87.57 | |
| Joint-VAE2024.03 | 87.76 | 84.24 | |
| CONANlatent representation dimensionality=102024.03 | 67.53 | 61.54 | |
| MIB2024.03 | 59.72 | 53.99 | |
| Beta-VAE2024.03 | 51.21 | 49.81 | |
| DVIB2024.03 | 44.31 | 42.17 | |
| Random2024.03 | 4.6 | 3.11 | |
| AdLNetTarget feature budget k=502026.07 | 0.992 | — | |
| Vanilla LassoNetTarget feature budget k=502026.07 | 0.985 | — | |
| Deep-LassoTarget feature budget k=502026.07 | 0.983 | — | |
| FISTA-NetTarget feature budget k=502026.07 | 0.965 | — |