List your company

Multi-view Classification on CUB (test)

93.5AccuracyMNPs
59.980868.682977.38586.0871Oct 6, 2022Nov 5, 2022Dec 5, 2022Jan 4, 2023Feb 3, 2023Mar 5, 2023Apr 4, 2023

Evaluation results

MethodLinks
MNPs2023.0493.5—
DEFusion=Early Fusion2023.0493.16—
MCD2023.0492.33—
ETP2023.0492.33—
DEFusion=Late Fusion2023.0492.33—
MGP2023.0492.33—
TMC2023.0491.17—
SNGP2023.0489.5—
MGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1085.48—
DE (EF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1076.94—
DE (LF)noise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1076.16—
MC Dropoutnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1076.08—
TMCnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1074.19—
NGPnoise_type=Gaussian, noise_std_range=0.01 to 10, noise_application=half of the views2022.1061.27—
DEfusion_strategy=Early Fusion (EF)2023.04—5.4
DEfusion_strategy=Late Fusion (LF)2023.04—27
DE (EF)number of models=5, fusion=early2022.10—5.4
DE (LF)number of models=5, fusion=late2022.10—27
ETP2023.04—5.1
MC Dropoutdropout rate=0.22022.10—6.9
MCD2023.04—6.9
MGP2022.10—3.8
MGP2023.04—3.8
MNPs2023.04—4.9
SNGPbackbone=GP layer2022.10—20
SNGP2023.04—20
TMC2022.10—14.1
TMC2023.04—14.1