Open-Vocabulary Semantic Segmentation

Open-Vocabulary Semantic Segmentation is an advanced computer vision technique aimed at classifying each pixel in an image, not limited to a predefined set of categories, but capable of recognizing and segmenting a broader range of concepts. This technology enhances the model's generalization ability and depth of semantic understanding by integrating large-scale language models, thereby achieving more accurate pixel-level annotations in complex scenes. Its application value lies in the ability to handle objects of unknown categories, improving the flexibility and robustness of image parsing, making it suitable for fields such as autonomous driving, medical image analysis, and remote sensing image processing.