Zero-shot Learning via the fusion of generation and embedding for image recognition-Reference-Cited by-同舟云学术

Zero-shot Learning via the fusion of generation and embedding for image recognition

Published:2021-11 Issue: Volume:578 Page:831-847
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhao Peng,Zhang Siying,Liu Jinhui,Liu Huiting

Funder

Natural Science Foundation of Anhui Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. Principal component analysis;Abdi;Wiley Interdisc. Rev. Comput. Stat.,2010

2. Label-embedding for attribute-based classification;Akata,2013

3. Evaluation of output embeddings for fine-grained image classification;Akata,2015

4. Synthesized classifiers for zero-shot learning;Changpinyo,2016

5. Predicting visual exemplars of unseen classes for zero-shot learning;Changpinyo,2017

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