AQFS-Net: An Adaptive Quality-Aware Fusion and Saliency-Guided Network for Visible-Infrared Object Detection
Object detection in real-world scenarios is often challenged by adverse visual conditions, such as low illumination, strong glare, and dense fog, which severely degrade visible-spectrum features and lead to missed detections, inaccurate localization, and reduced detection accuracy. To address these issues, this paper p...