Multi-view Classification on PIE (test)
95AccuracyMNPs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MNPs2023.04 | 95 | — | |
| MGP2023.04 | 92.06 | — | |
| DEFusion=Early Fusion2023.04 | 91.76 | — | |
| ETP2023.04 | 91.76 | — | |
| MCD2023.04 | 91.32 | — | |
| TMC2023.04 | 91.18 | — | |
| MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 90.97 | — | |
| DEFusion=Late Fusion2023.04 | 87.21 | — | |
| SNGP2023.04 | 87.06 | — | |
| DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 67.69 | — | |
| DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 65.53 | — | |
| MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 64.65 | — | |
| TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 62.18 | — | |
| NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 56.52 | — | |
| DEfusion_strategy=Early Fusion (EF)2023.04 | — | 26.9 | |
| DEfusion_strategy=Late Fusion (LF)2023.04 | — | 56.7 | |
| DE (EF)number of models=5, fusion=early2022.10 | — | 26.9 | |
| DE (LF)number of models=5, fusion=late2022.10 | — | 56.7 | |
| ETP2023.04 | — | 28.7 | |
| MC Dropoutdropout rate=0.22022.10 | — | 29.9 | |
| MCD2023.04 | — | 29.9 | |
| MGP2022.10 | — | 7.9 | |
| MGP2023.04 | — | 7.9 | |
| MNPs2023.04 | — | 4 | |
| SNGPbackbone=GP layer2022.10 | — | 85.2 | |
| SNGP2023.04 | — | 85.2 | |
| TMC2022.10 | — | 7.2 | |
| TMC2023.04 | — | 7.2 |