Active Learning With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification-Reference-Cited by-同舟云学术

Active Learning With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification

Published:2023-08 Issue:8 Volume:33 Page:3899-3911
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Wang Zengmao¹^ORCID,Chen Zixi²,Du Bo¹

Affiliation:

1. School of Computer Science, National Engineering Research Center for Multimedia Software, Artificial Intelligence Institute of Wuhan University, Hubei Key Laboratory of Multimedia and Network Communication Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China

2. School of Computer Science, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Science and Technology Major Project of Hubei Province

Key Research and Development Program of Hubei Province

National Dam Safety Research Center Program

CCF-DiDi GAIA Collaborative Research Funds for Young Scholars

Xiaomi Inc

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10207864/10012443.pdf?arnumber=10012443

Reference51 articles.

1. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,2014

2. Support vector machine active learning for image retrieval

3. Generative adversarial active learning;zhu;arXiv 1702 07956,2017

4. Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

5. Support vector machine active learning with applications to text classification;tong;J Mach Learn Res,2002

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