CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions

arXiv:2404.16302v1 Announce Type: new
Abstract: Cross-modality images that integrate visible-infrared spectra cues can provide richer complementary information for object detection. Despite this, existing visible-infrared object detection methods severely degrade in severe weather conditions. This failure stems from the pronounced sensitivity of visible images to environmental perturbations, such as rain, haze, and snow, which frequently cause false negatives and false positives in detection. To address this issue, we introduce a novel and challenging task, termed visible-infrared object detection under adverse weather …

arxiv cs.cv cs.mm cs.ro detection eess.iv fusion mamba object type weather