Zero Shot Semantic Segmentation

Zero-Shot Semantic Segmentation is a computer vision technique aimed at achieving pixel-level semantic segmentation of unseen categories in images without training on specific categories. This method enhances the model's generalization capability to new categories by leveraging knowledge transfer from known categories, thereby demonstrating significant value in practical applications such as medical image analysis, autonomous driving, and scene understanding.