MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

arXiv:2404.08406v1 Announce Type: new
Abstract: Multi-modality image fusion (MMIF) aims to integrate complementary information from different modalities into a single fused image to represent the imaging scene and facilitate downstream visual tasks comprehensively. In recent years, significant progress has been made in MMIF tasks due to advances in deep neural networks. However, existing methods cannot effectively and efficiently extract modality-specific and modality-fused features constrained by the inherent local reductive bias (CNN) or quadratic computational complexity (Transformers). To overcome this issue, …

abstract advances arxiv cs.cv fusion image imaging information mamba networks neural networks progress tasks type visual