Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification
A multi-modal co-learning framework that prioritizes inter-modal collaboration rather than multi-modal fusion is adopted, which considers that any subset of modalities may be absent, without assuming predefined missing-modality patterns, an inference scenario the authors refer to as missing arbitrary modalities.