Classification on MNIST-SVHN r=100
79.47Overall AccuracySSMVAE-CI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SSMVAE-CIbeta (%)=302026.05 | 79.47 | 64.44 | |
| CReSTbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 75.5 | 58.62 | |
| SSMVAE-CIbeta (%)=102026.05 | 74.79 | 59.07 | |
| SSVAEbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 74.55 | 56.49 | |
| LDAMbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 74.4 | 56.68 | |
| GAMObeta (%)=30, Fusion Strategy=Early fusion2026.05 | 73.33 | 52.6 | |
| ADSHbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 72.92 | 58.66 | |
| SSVAEbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 71.14 | 53.58 | |
| CMMLbeta (%)=302026.05 | 69.37 | 51.17 | |
| SSVAEbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 69.02 | 53.13 | |
| ADSHbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 68.77 | 51.7 | |
| CReSTbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 68.43 | 52.55 | |
| LDAMbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 68.03 | 54.57 | |
| CReSTbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 67.07 | 48.28 | |
| LDAMbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 66.47 | 44.56 | |
| CMMLbeta (%)=102026.05 | 64.99 | 41.8 | |
| GAMObeta (%)=10, Fusion Strategy=Early fusion2026.05 | 64.63 | 36.13 | |
| SMLNbeta (%)=302026.05 | 63.78 | 43.26 | |
| GAMObeta (%)=30, Fusion Strategy=Late fusion2026.05 | 61.9 | 43.61 | |
| SMLNbeta (%)=102026.05 | 61.61 | 39.34 | |
| CReSTbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 60.77 | 43.92 | |
| SSVAEbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 60.5 | 40.49 | |
| ADSHbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 57.65 | 42.18 | |
| LDAMbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 57.61 | 41.02 | |
| GAMObeta (%)=10, Fusion Strategy=Late fusion2026.05 | 52.45 | 28.58 | |
| ADSHbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 51.43 | 41.58 |