Multi Object Segmentation

Multi-object segmentation aims to identify and delineate multiple objects within an image or video, a crucial step in scene understanding. Current research focuses on improving accuracy and efficiency, particularly in challenging scenarios like complex backgrounds, similar objects, and 3D scenes, employing various approaches including memory-based methods, transformer-based architectures, and hybrid models combining machine learning with geometric modeling. These advancements are driving progress in diverse fields such as autonomous driving, robotics, and medical image analysis, where precise object segmentation is essential for automated tasks and improved diagnostic capabilities.