Multi-modal image segmentation

Multimodal image segmentation is a key technology in the field of computer vision, aiming to achieve precise division of different regions in images by integrating data from multiple modalities. The goal of this technique is to enhance the accuracy and robustness of segmentation, thereby better understanding and interpreting complex scenes. Multimodal image segmentation has significant application value in various fields such as medical image analysis, remote sensing image processing, and autonomous driving, providing reliable foundational data for subsequent advanced analysis and decision-making.