A unified multimodal learning framework models modality degradation as a continuous variable and uses a noise-aware quality estimator to adaptively weight fused representations under both intra- and inter-modality missingness.
Crema-d: Crowd-sourced emotional multimodal actors dataset.IEEE transactions on affective computing, 5(4):377–390, 2014
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General Incomplete Multimodal Learning via Dynamic Quality Perception
A unified multimodal learning framework models modality degradation as a continuous variable and uses a noise-aware quality estimator to adaptively weight fused representations under both intra- and inter-modality missingness.