Multimodal Classification on SUNAttribute
86.62Accuracy (Image)GAAL*
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GAAL*Learning Paradigm=Test-time Tabular Missing, Pretrained weight setting=Same as test-time tabular missing methods2026.04 | 86.62 | — | — | |
| CHARMSLearning Paradigm=Test-time Tabular Missing2026.04 | 86.61 | — | — | |
| GAALLearning Paradigm=Proposed Method2026.04 | 84.52 | 86.68 | 83.68 | |
| MMCLLearning Paradigm=Test-time Tabular Missing2026.04 | 84.31 | — | — | |
| KDLearning Paradigm=Test-time Tabular Missing2026.04 | 83.82 | — | — | |
| Resnet50Learning Paradigm=Unimodal Learning2026.04 | 83.61 | — | — | |
| FMRLearning Paradigm=Test-time Tabular Missing2026.04 | 83.47 | — | — | |
| MFHLearning Paradigm=Test-time Tabular Missing2026.04 | 83.12 | — | — | |
| ReconBoostLearning Paradigm=Multimodal Gradient Conflict2026.04 | 81.17 | 84.98 | 82.24 | |
| LFMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 80.75 | 84.87 | 82.22 | |
| MLALearning Paradigm=Multimodal Gradient Conflict2026.04 | 80.47 | 84.17 | 81.94 | |
| DI-MMLLearning Paradigm=Multimodal Gradient Conflict2026.04 | 80.03 | 84.75 | 82.12 | |
| MMParetoLearning Paradigm=Multimodal Gradient Conflict2026.04 | 79.92 | 84.75 | 82.43 | |
| OGMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 64.57 | 83.05 | 83.12 | |
| CFLearning Paradigm=Tabular-image Fusion2026.04 | 55.44 | 82.78 | 82.98 | |
| DAFTLearning Paradigm=Tabular-image Fusion2026.04 | — | 84.56 | — | |
| MFLearning Paradigm=Tabular-image Fusion2026.04 | — | 83.33 | — | |
| MLPLearning Paradigm=Unimodal Learning2026.04 | — | — | 80.82 | |
| TIPLearning Paradigm=Tabular-image Fusion2026.04 | — | 86.12 | — |