Multi-view Classification on Caltech101 (test)
93.46AccuracyMNPs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MNPs2023.04 | 93.46 | — | |
| MGP2023.04 | 93 | — | |
| DEFusion=Early Fusion2023.04 | 92.99 | — | |
| DEFusion=Late Fusion2023.04 | 92.97 | — | |
| MCD2023.04 | 92.95 | — | |
| MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 92.68 | — | |
| ETP2023.04 | 92.08 | — | |
| TMC2023.04 | 91.63 | — | |
| SNGP2023.04 | 91.24 | — | |
| DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 81.85 | — | |
| DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 73.99 | — | |
| MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 73.45 | — | |
| TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 71.77 | — | |
| NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.10 | 56.57 | — | |
| DEfusion_strategy=Early Fusion (EF)2023.04 | — | 0.036 | |
| DEfusion_strategy=Late Fusion (LF)2023.04 | — | 0.023 | |
| DE (EF)number of models=5, fusion=early2022.10 | — | 0.036 | |
| DE (LF)number of models=5, fusion=late2022.10 | — | 0.023 | |
| ETP2023.04 | — | 0.096 | |
| MC Dropoutdropout rate=0.22022.10 | — | 0.017 | |
| MCD2023.04 | — | 0.017 | |
| MGP2022.10 | — | 0.009 | |
| MGP2023.04 | — | 0.009 | |
| MNPs2023.04 | — | 0.017 | |
| SNGPbackbone=GP layer2022.10 | — | 0.442 | |
| SNGP2023.04 | — | 0.442 | |
| TMC2022.10 | — | 0.068 | |
| TMC2023.04 | — | 0.068 |