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Integral Feature를 적용한 효율적인 Convolutional Neural Network 기반 객체 위치 탐색 기법Efficient Localization Method in Convolutional Neural Network using Integral Feature
- Other Titles
- Efficient Localization Method in Convolutional Neural Network using Integral Feature
- Issue Date
- Nov-2014
- Publisher
- 대한전자공학회
- Citation
- 2014년 대한전자공학회 추계학술대회 논문집, pp 380 - 383
- Pages
- 4
- Indexed
- OTHER
- Journal Title
- 2014년 대한전자공학회 추계학술대회 논문집
- Start Page
- 380
- End Page
- 383
- Abstract
- Convolutional Neural Network(CNN) is the state-of-the-art object recognition method in computer vision research area. But CNN has a very complicated structure and high cost in image localization. We present an efficient method for classification and localization of objects in convolutional neural network. The proposed method is faster than the conventional method in image searching, while achieving the capability of CNN.
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Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
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