Zero Shot Segmentation

Zero-Shot Segmentation is a cutting-edge technique in the field of computer vision aimed at accurately segmenting unknown objects in images without any specific category training data. This technology leverages the transfer of knowledge from known categories to achieve automatic recognition and segmentation of new categories, significantly enhancing the model's generalization ability and application scope. Its core objective is to maintain high efficiency and precise segmentation performance even when encountering entirely new or rare objects, thereby playing a crucial role in scenarios such as medical image analysis, autonomous driving, and security monitoring.