Multi-view Classification on HMDB (test)
72.3AccuracyMGP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MGP2023.04 | 72.3 | — | |
| MNPs2023.04 | 71.97 | — | |
| MCD2023.04 | 71.68 | — | |
| DEFusion=Early Fusion2023.04 | 71.67 | — | |
| DEFusion=Late Fusion2023.04 | 69.98 | — | |
| SNGP2023.04 | 67.65 | — | |
| ETP2023.04 | 67.43 | — | |
| MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 67.02 | — | |
| TMC2023.04 | 65.17 | — | |
| DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 43.01 | — | |
| MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 42.63 | — | |
| DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 41.92 | — | |
| NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 37.49 | — | |
| TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 36.61 | — | |
| DE (EF)number of models=5, fusion=early2022.10 | — | 0.095 | |
| DE (LF)number of models=5, fusion=late2022.10 | — | 0.27 | |
| MC Dropoutdropout rate=0.22022.10 | — | 0.388 | |
| MGP2022.10 | — | 0.036 | |
| SNGPbackbone=GP layer2022.10 | — | 0.227 | |
| TMC2022.10 | — | 0.594 |