Complementary Information Mining for Redundancy and Weakly Aligned RGB-T Semantic Segmentation (opens in new tab)

Multimodal data can effectively improve the accuracy and robustness of traditional RGB image semantic segmentation. However, the redundant information between cross-modal data hinders the complementary information mining of each modality. And the data misalignment between modes will aggravate the above effects. In this article, we propose a complementary information mining network (CIMNet) for RGB-thermal (RGB-T) semantic segmentation. We comprehensively consider the link between the difficul...