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