Speech Prompted Semantic Segmentation

Speech-Prompted Semantic Segmentation is a sub-task in the field of computer vision that aims to predict semantic segmentation regions in images by analyzing the categories or segment names mentioned in the speaker's voice. This technology combines audio signal processing with image recognition, enabling cross-modal information fusion and enhancing the accuracy and robustness of image understanding. It has a wide range of application prospects, such as assisting visually impaired individuals in understanding and interacting with their environment, and object recognition and annotation in augmented reality technologies.