Zero-shot learning via category-specific visual-semantic mapping and label refinement

Zero-shot learning (ZSL) aims to classify a test instance from an unseen category based on the training instances from seen categories in which the gap between seen categories and unseen categories is generally bridged via visual-semantic mapping between the low-level visual feature space and the in...

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Bibliographic Details
Main Authors: Niu, Li, Cai, Jianfei, Veeraraghavan, Ashok, Zhang, Liqing
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142785
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Institution: Nanyang Technological University
Language: English

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