Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition-Reference-Cited by-同舟云学术

Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition

Published:2023-09 Issue: Volume:642 Page:119161
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhao Peng,Xue Huihui,Ji Xia,Liu Huiting,Han Li

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Anhui Provincial Department of Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. HSVA: hierarchical semantic-visual adaptation for zero-shot learning;Chen,2021

2. Gsmflow: generation shifts mitigating flow for generalized zero-shot learning;Chen;IEEE Trans. Multimed.,2022

3. Marginalized latent semantic encoder for zero-shot learning;Ding,2019

4. Describing objects by their attributes;Farhadi,2009

5. Target inductive methods for zero-shot regression;Fdez-Díaz;Inf. Sci.,2022

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