RGB D Sod

RGB-D salient object detection (SOD) aims to identify visually prominent objects in images by leveraging both color (RGB) and depth information. Current research focuses on improving accuracy and efficiency through advanced architectures like transformers and Siamese networks, often incorporating strategies to mitigate the impact of noisy depth data and reduce reliance on extensive manual annotation. These advancements are significant because accurate and efficient RGB-D SOD has broad applications in robotics, augmented reality, and computer vision, enabling more robust scene understanding and object interaction.