A semi-supervised zero-shot image classification method based on soft-target.

Ji, Zhong; Wang, Qiang; Cui, Biying; Pang, Yanwei; Cao, Xianbin; Li, Xuelong

Ji, Zhong; Wang, Qiang; Cui, Biying; Pang, Yanwei; Cao, Xianbin; Li, Xuelong.

Afiliación

Ji Z; School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Electronic address: jizhong@tju.edu.cn.
Wang Q; School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Electronic address: qiangwang306@tju.edu.cn.
Cui B; School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Electronic address: cuibiying@tju.edu.cn.
Pang Y; School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Electronic address: pangyanwei@tju.edu.cn.
Cao X; School of Electronic and Information Engineering, Beihang University, Beijing, China. Electronic address: xbcao@buaa.edu.cn.
Li X; Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China. Electronic address: li@nwpu.edu.cn.

Neural Netw ; 143: 88-96, 2021 Nov.

Article en En | MEDLINE | ID: mdl-34102379

Palabras clave

Autoencoder; Image classification; Semi-supervised learning; Soft-Target; Zero-shot learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2021 Tipo del documento: Article

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