Multi-view Classification on Handwritten (test)
97.66AccuracyMGP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 97.66 | — | |
| DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 95.63 | — | |
| TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 82.44 | — | |
| DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 82.16 | — | |
| MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 82.15 | — | |
| NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 72.46 | — | |
| DE (EF)number of models=5, fusion=early2022.10 | — | 0.007 | |
| DE (LF)number of models=5, fusion=late2022.10 | — | 0.292 | |
| MC Dropoutdropout rate=0.22022.10 | — | 0.009 | |
| MGP2022.10 | — | 0.006 | |
| SNGPbackbone=GP layer2022.10 | — | 0.023 | |
| TMC2022.10 | — | 0.013 |