Segmentation Backbone

Segmentation backbones are the core feature extraction components of semantic segmentation models, aiming to accurately delineate objects within images or point clouds. Current research emphasizes improving backbone efficiency and robustness, exploring architectures like transformers and incorporating techniques such as multi-scale feature extraction, region-based feature learning, and frequency disentanglement to enhance performance, particularly in challenging scenarios with limited data or complex scenes. These advancements are crucial for applications ranging from autonomous driving and medical image analysis to video processing, where accurate and efficient segmentation is paramount.