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Detail
Journal Article
딥러닝 기반 객체 분류 및 검출 기술 분석 및 동향
- Issue Date
- 2018-01
- Citation
- 전자통신동향분석, v.33, no.4, pp.33-42
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- 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: : Type 1 + Commercial Use Prohibition+Change Prohibition)
