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Journal Article 딥러닝 기반 객체 분류 및 검출 기술 분석 및 동향
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Authors
이승재, 이근동, 이수웅, 고종국, 유원영
Issue Date
2018-01
Citation
전자통신동향분석, v.33, no.4, pp.33-42
ISSN
1225-6455
Publisher
한국전자통신연구원 (ETRI)
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2018.J.330404
Abstract
Object classification and detection are fundamental technologies in computer vision and its applications. Recently, a deep-learning based approach has shown significant improvement in terms of object classification and detection. This report reviews the progress of deep-learning based object classification and detection in views of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), and analyzes recent trends of object classification and detection technology and its applications.
KSP Keywords
Computer Vision(CV), Detection technology, Object Classification, Recent trends, Visual recognition, deep learning(DL), large-scale, learning based approach
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: