GRAMformer: Any-Order Modality Interactions via Volumetric Multimodal Cross-Attention

Transformer-based multimodal models rely on attention mechanisms to integrate information across heterogeneous modalities. Despite their success, existing multimodal attention formulations compute their scores through collections of pairwise dot-product interactions or by concatenating all the modal...