Classification on MNIST-SVHN r=20
89.72Overall AccuracySSMVAE-CI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SSMVAE-CIbeta (%)=302026.05 | 89.72 | 83.94 | |
| SSVAEbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 88.45 | 81.84 | |
| ADSHbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 88.25 | 81.77 | |
| SSMVAE-CIbeta (%)=102026.05 | 87.85 | 80.33 | |
| CReSTbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 87.74 | 81.27 | |
| LDAMbeta (%)=30, Fusion Strategy=Early fusion2026.05 | 87.02 | 80.39 | |
| SSVAEbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 85.54 | 77.81 | |
| CMMLbeta (%)=302026.05 | 84.56 | 72.2 | |
| GAMObeta (%)=30, Fusion Strategy=Early fusion2026.05 | 83.92 | 74.4 | |
| CReSTbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 82.76 | 76.38 | |
| SMLNbeta (%)=302026.05 | 81.02 | 68.76 | |
| SMLNbeta (%)=102026.05 | 80.51 | 60.84 | |
| CMMLbeta (%)=102026.05 | 80.26 | 62.94 | |
| LDAMbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 79.9 | 68.47 | |
| GAMObeta (%)=10, Fusion Strategy=Early fusion2026.05 | 78.55 | 62.55 | |
| CReSTbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 78.55 | 70.18 | |
| ADSHbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 77.32 | 69.71 | |
| SSVAEbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 77.3 | 67.99 | |
| LDAMbeta (%)=30, Fusion Strategy=Late fusion2026.05 | 76.78 | 69.54 | |
| ADSHbeta (%)=10, Fusion Strategy=Early fusion2026.05 | 74.95 | 71.44 | |
| SSVAEbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 71.62 | 60.3 | |
| LDAMbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 69.84 | 60.14 | |
| CReSTbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 69.77 | 60.8 | |
| GAMObeta (%)=30, Fusion Strategy=Late fusion2026.05 | 67.71 | 55.03 | |
| GAMObeta (%)=10, Fusion Strategy=Late fusion2026.05 | 60.81 | 43.59 | |
| ADSHbeta (%)=10, Fusion Strategy=Late fusion2026.05 | 58.36 | 56.74 |