Learning to Adapt: Instance-Level Visual and Semantic Adaptation for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) aims to recognize novel categories by leveraging semantic knowledge transferred from previously observed categories, where learning transferable features for effective visual-semantic alignment plays a critical role. Conventional methods typically utilize all shared attributes to l...