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Are Multimodal Transformers Robust to Missing Modality?

CVPR 2022 · Vision-language and multimodal › Cross-modal learning · approach: Multimodal fusion with missing modalities · 183 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use multi-task optimization and a learned fusion policy instead of the ViLT baselineViLT · MM-IMDb, 100% image + 10% text at testF1 Macro: 23.1 -> 37.3Helped
Use multi-task optimization and a learned fusion policy instead of the ViLT baselineViLT · UPMC Food-101, 100% image + 10% text at testAccuracy: 58.4 -> 73.3Helped
Use multi-task optimization and a learned fusion policy instead of the ViLT baselineViLT · Hateful Memes, 100% image + 10% text at testAUROC: 58.0 -> 59.6Helped
Use late rather than early fusionViLT · UPMC Food-101, 100% image + 30% text at testAccuracy: 65.9 -> 69.1Helped
Use late rather than early fusionViLT · MM-IMDb, 100% image + 30% text at testF1 Macro: 31.2 -> 31.0No clear effect
Use late rather than early fusionViLT · Hateful Memes, 100% image + 30% text at testAUROC: 60.2 -> 57.8Hurt
Train with missing modalities using the simple missing-modality baselineViLT · UPMC Food-101, 100% image + 30% text at train and testAccuracy: 65.9 -> 44.3Hurt
Train with missing modalities using the simple missing-modality baselineViLT · Hateful Memes, 100% image + 30% text at train and testAUROC: 60.2 -> 59.7Hurt
Add the learned fusion policy to multi-task learning (ablation)ViLT on MM-IMDb · MM-IMDb, 30% text at testF1 Macro: 31.2 -> 41.8Helped
Add multi-task learning to the learned fusion policy (ablation)ViLT on MM-IMDb · MM-IMDb, 30% text at testF1 Macro: 28.6 -> 41.8Helped
Add the learned fusion policy to multi-task learning (ablation)ViLT on MM-IMDb · MM-IMDb, 10% text at testF1 Macro: 22.6 -> 37.3Helped
Add multi-task learning to the learned fusion policy (ablation)ViLT on MM-IMDb · MM-IMDb, 10% text at testF1 Macro: 17.3 -> 37.3Helped

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