Multimodal Classification on DVM
99.17Multi Modality AccuracyGAAL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GAALLearning Paradigm=Proposed Method2026.04 | 99.17 | 90.57 | 91.91 | |
| DFPLMissing rate η=30%, Train/Test Image=70%, Train/Test Tabular=100%2026.06 | 98.23 | — | — | |
| DFPLMissing rate η=50%, Train/Test Image=50%, Train/Test Tabular=100%2026.06 | 97.66 | — | — | |
| DFPLMissing rate η=70%, Train/Test Image=30%, Train/Test Tabular=100%2026.06 | 97.5 | — | — | |
| LFMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 97.31 | 85.43 | 88.48 | |
| DI-MMLLearning Paradigm=Multimodal Gradient Conflict2026.04 | 97.19 | 84.99 | 87.48 | |
| ReconBoostLearning Paradigm=Multimodal Gradient Conflict2026.04 | 97.14 | 84.99 | 87.56 | |
| MLALearning Paradigm=Multimodal Gradient Conflict2026.04 | 96.68 | 76.64 | 85.05 | |
| MMParetoLearning Paradigm=Multimodal Gradient Conflict2026.04 | 96.58 | 75.49 | 88.51 | |
| DFPLMissing rate η=30%, Train/Test Image=85%, Train/Test Tabular=85%2026.06 | 96.24 | — | — | |
| DFPLMissing rate η=30%, Train/Test Image=100%, Train/Test Tabular=70%2026.06 | 95.54 | — | — | |
| TIPLearning Paradigm=Tabular-image Fusion2026.04 | 95.45 | — | — | |
| DAFTLearning Paradigm=Tabular-image Fusion2026.04 | 94.6 | — | — | |
| DFPLMissing rate η=50%, Train/Test Image=75%, Train/Test Tabular=75%2026.06 | 94.5 | — | — | |
| DFPLMissing rate η=50%, Train/Test Image=100%, Train/Test Tabular=50%2026.06 | 93.43 | — | — | |
| DFPLMissing rate η=70%, Train/Test Image=65%, Train/Test Tabular=65%2026.06 | 92.63 | — | — | |
| DFPLMissing rate η=70%, Train/Test Image=100%, Train/Test Tabular=30%2026.06 | 92.59 | — | — | |
| MFLearning Paradigm=Tabular-image Fusion2026.04 | 89.93 | — | — | |
| CFLearning Paradigm=Tabular-image Fusion2026.04 | 87.93 | 0.58 | 87.92 | |
| OGMLearning Paradigm=Multimodal Gradient Conflict2026.04 | 87.78 | 0.76 | 87.8 | |
| CHARMSLearning Paradigm=Test-time Tabular Missing2026.04 | — | 91.75 | — | |
| FMRLearning Paradigm=Test-time Tabular Missing2026.04 | — | 84.27 | — | |
| GAAL*Learning Paradigm=Test-time Tabular Missing, Pretrained weight setting=Same as test-time tabular missing methods2026.04 | — | 93.58 | — | |
| KDLearning Paradigm=Test-time Tabular Missing2026.04 | — | 83.9 | — | |
| MLPLearning Paradigm=Unimodal Learning2026.04 | — | — | 87.42 | |
| MMCLLearning Paradigm=Test-time Tabular Missing2026.04 | — | 82.03 | — | |
| Resnet50Learning Paradigm=Unimodal Learning2026.04 | — | 87.43 | — |