Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T salient object detection

• Main Authors: TANG, Hao, LI, Zechao, ZHANG, Dong, HE, Shengfeng, TANG, Jinhui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Encoder-Decoder; multi-modal fusion; RGB-thermal; salient object detection; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/9905; https://ink.library.smu.edu.sg/context/sis_research/article/10905/viewcontent/Divide_and_Conquer_av.pdf
• Institution: Singapore Management University

RGB-Thermal Salient Object Detection (RGB-T SOD) aims to pinpoint prominent objects within aligned pairs of visible and thermal infrared images. A key challenge lies in bridging the inherent disparities between RGB and Thermal modalities for effective saliency map prediction. Traditional encoder-dec...