Zero-Shot Learning via Discriminative Dual Semantic Auto-Encoder

Zero-Shot Learning via Discriminative Dual Semantic Auto-Encoder

Zero-shot learning (ZSL) is an effective method to perform the recognition task without any training samples of specific classes. Most existing ZSL models put emphasis on learning an embedding between visual space and semantic space directly. However, few ZSL models research whether the human-design...

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Bibliographic Details
Main Authors: Nan Xing, Yang Liu, Hong Zhu, Jing Wang, Jungong Han
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Zero-shot learning
discriminative
encoder-decoder
aligned
Online Access:https://ieeexplore.ieee.org/document/9303397/

Internet

https://ieeexplore.ieee.org/document/9303397/

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