Alvaro Lopez Pellicer

CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary Learning

Most multimodal learning assumes redundant views (such as image–caption pairs), yet many applications require combining complementary modalities that provide distinct evidence (such as an X-ray and medical history). We term this setting *Complementary Multimodal Classification* (CMC). In CMC, existi…