Relational Representation Learning Network for Cross-Spectral Image Patch Matching

arXiv:2403.11751v1 Announce Type: new
Abstract: Recently, feature relation learning has drawn widespread attention in cross-spectral image patch matching. However, existing related research focuses on extracting diverse relations between image patch features and ignores sufficient intrinsic feature representations of individual image patches. Therefore, an innovative relational representation learning idea is proposed for the first time, which simultaneously focuses on sufficiently mining the intrinsic features of individual image patches and the relations between image patch features. Based on this, we construct a …

abstract arxiv attention cs.cv diverse feature features however image intrinsic network relational relations representation representation learning research type