Deep Learning을 기반으로 한 Feature Extraction 알고리즘의 분석
Analysis of Feature Extraction Algorithms Based on Deep Learning
- 한국반도체디스플레이기술학회
- Journal of the Semiconductor & Display Technology
- Vol.19 No.2
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2020.0160 - 67 (8 pages)
- 0
Recently, artificial intelligence related technologies including machine learning are being applied to various fields, and the demand is also increasing. In particular, with the development of AR, VR, and MR technologies related to image processing, the utilization of computer vision based on deep learning has increased. The algorithms for object recognition and detection based on deep learning required for image processing are diversified and advanced. Accordingly, problems that were difficult to solve with the existing methodology were solved more simply and easily by using deep learning. This paper introduces various deep learning-based object recognition and extraction algorithms used to detect and recognize various objects in an image and analyzes the technologies that attract attention.
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