Zecheng Zhao

SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning

Zero-shot learning (ZSL) aims to recognize unseen classes without labeled training examples by leveraging class-level semantic descriptors such as attributes. A fundamental challenge in ZSL is semantic misalignment, where semantic-unrelated information involved in visual features introduce ambiguity…