AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

RSFusionDet: Underwater RGB-Sonar Multimodal Object Detection

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Underwater unimodal object detection faces many challenges in sensor imaging, such as optical images limited by underwater noise and visible distance, and sonar images limited by less object structural information. While, optical images have rich object structural information, and sonar images are less affected by underwater noise and have a longer visible distance. Optical (RGB modality) and sonar (Sonar modality) images have complementary information underwater. In this paper, we create an RGB-Sonar multimodal object detection dataset, \textbf{R}GB-\textbf{S}onar \textbf{Fusion} (RSFusion) a

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.