PSNet: Parallel symmetric network for RGB-T salient object detection

RGB-Thermal (RGB-T) salient object detection (SOD) aims to utilize RGB and thermal infrared data to discover the most salient object(s) in an image. Although SOD has achieved great progress, few efforts are devoted to RGB-T SOD. For this task, on the one hand, it is worth paying attention to how to aggregate critical saliency cues from both modalities to enhance salient feature representation and thus produce accurate salient object detection results. On the other hand, effective multi-level feature fusion remains a big challenge. To overcome the above mentioned issues, this paper proposes a