AI RESEARCH
Mutually Causal Semantic Distillation Network for Zero-Shot Learning
arXiv CS.LG
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ArXi:2603.17412v1 Announce Type: cross Zero-shot learning (ZSL) aims to recognize the unseen classes in the open-world guided by the side-information (e.g., attributes). Its key task is how to infer the latent semantic knowledge between visual and attribute features on seen classes, and thus conducting a desirable semantic knowledge transfer from seen classes to unseen ones.