This survey provides the first comprehensive overview of deep multimodal learning methods designed to remain robust when some input modalities are absent.
Meta-learned modality-weighted knowl- edge distillation for robust multi-modal learning with miss- ing data
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PTA framework purifies noisy multimodal data via meta-learning and distills cross-modal knowledge through diffusion to create robust single-modality models under missing modalities.
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Deep Multimodal Learning with Missing Modality: A Survey
This survey provides the first comprehensive overview of deep multimodal learning methods designed to remain robust when some input modalities are absent.
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Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher
PTA framework purifies noisy multimodal data via meta-learning and distills cross-modal knowledge through diffusion to create robust single-modality models under missing modalities.