Multimodal Classification on CelebA
83.13Accuracy (Image)GAAL*
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GAAL*Learning Paradigm=Test-time Tabular Missing, Pretrained weight setting=Same as test-time tabular missing methods2026.04 | 83.13 | — | — | |
| GAALLearning Paradigm=Proposed Method2026.04 | 82.22 | 82.73 | 79.22 | |
| CHARMSLearning Paradigm=Test-time Tabular Missing2026.04 | 82.2 | — | — | |
| Resnet50Learning Paradigm=Unimodal Learning2026.04 | 81.46 | — | — | |
| ReconBoostLearning Paradigm=Multimodal Gradient Conflict2026.04 | 81.33 | 81.49 | 78.36 | |
| DI-MMLLearning Paradigm=Multimodal Gradient Conflict2026.04 | 81.3 | 81.99 | 78.39 | |
| KDLearning Paradigm=Test-time Tabular Missing2026.04 | 81.18 | — | — | |
| LFMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 81.1 | 81.15 | 76.13 | |
| MMCLLearning Paradigm=Test-time Tabular Missing2026.04 | 80.41 | — | — | |
| FMRLearning Paradigm=Test-time Tabular Missing2026.04 | 80.03 | — | — | |
| MMParetoLearning Paradigm=Multimodal Gradient Conflict2026.04 | 79.41 | 80.82 | 77.02 | |
| MLALearning Paradigm=Multimodal Gradient Conflict2026.04 | 79.15 | 81.34 | 79.13 | |
| MFHLearning Paradigm=Test-time Tabular Missing2026.04 | 75.07 | — | — | |
| CFLearning Paradigm=Tabular-image Fusion2026.04 | 56.54 | 77.4 | 77.23 | |
| OGMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 53.28 | 77.71 | 77.56 | |
| DAFTLearning Paradigm=Tabular-image Fusion2026.04 | — | 82.02 | — | |
| MFLearning Paradigm=Tabular-image Fusion2026.04 | — | 79.41 | — | |
| MLPLearning Paradigm=Unimodal Learning2026.04 | — | — | 77.75 | |
| TIPLearning Paradigm=Tabular-image Fusion2026.04 | — | 82.24 | — |