ei Electronic Imaging 2470-11732470-1173 Society for Imaging Science and Technology IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA 10.2352/EI.2022.34.11.HVEI-189 HVEI-189 Article INDeeD: Identical and disparate feature decomposition from multi-label data Adiya Tserendorj Kyung Hee University, Republic of Korea Lee Seungkyu Kyung Hee University, Republic of Korea Abstract

We propose Identical and Disparate Feature Decomposition (INDeeD) from multi-label data that explicitly learn the characteristics of individual label.

 16 01 2022 34 HVEI 11 189-1 189-8 © 2022, Society for Imaging Science and Technology 2022 Human vision Multi-label image classification