Multi-view Classification on Scene15 (test)
65.74Average Test AccuracyMGP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 65.74 | — | |
| DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 50.13 | — | |
| DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 49.45 | — | |
| MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 48.97 | — | |
| TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 42.52 | — | |
| NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 38.19 | — | |
| DE (EF)number of models=5, fusion=early2022.10 | — | 8.9 | |
| DE (LF)number of models=5, fusion=late2022.10 | — | 31.9 | |
| MC Dropoutdropout rate=0.22022.10 | — | 18.1 | |
| MGP2022.10 | — | 6.2 | |
| SNGPbackbone=GP layer2022.10 | — | 11.1 | |
| TMC2022.10 | — | 18 |