Active learning with label correlation exploration for multi‐label image classification

Active learning with label correlation exploration for multi‐label image classification

Multi‐label image classification has attracted considerable attention in machine learning recently. Active learning is widely used in multi‐label learning because it can effectively reduce the human annotation workload required to construct high‐performance classifiers. However, annotation by expert...

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Bibliographic Details
Main Authors: Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
Format: Article
Language:English
Published: Wiley 2017-10-01
Series:IET Computer Vision
Subjects:
label correlation exploration
multilabel image classification
machine learning
semisupervised multilabel active learning method
SSMAL method
automated annotation
Online Access:https://doi.org/10.1049/iet-cvi.2016.0243

Internet

https://doi.org/10.1049/iet-cvi.2016.0243

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