Zero Shot Transfer Image Classification

Zero-Shot Transfer Image Classification is a computer vision technique aimed at enabling models to accurately classify specific categories without having seen samples of those categories. This technology achieves recognition and classification of new categories by leveraging the knowledge of known categories, and it has broad application value, especially in scenarios where data is scarce or difficult to obtain.