Face Recognition Using Small Amount of Data with Deep Learning
碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 106 === A method of face detection and face recognition based on VGG-Face transfer learning [11] is proposed in this thesis. Model training requires high speed and low cost in industry, and transfer learning fits these two requirements. In related work, deep learnin...
Main Authors: | Hsien-Pei Kao, 高咸培 |
---|---|
Other Authors: | 傅楸善 |
Format: | Others |
Language: | en_US |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/vq9y4u |
Similar Items
-
On Improving Linear Discriminant Analysis for Face Recognition with Small Sample Size Problem
by: Hsien-Jen Lin, et al.
Published: (2002) -
Cat face recognition using deep learning
by: Tzu-Yuan Lin, et al.
Published: (2018) -
Face recognition by deep learning
Published: () -
Face Recognition via Deep Learning Using Data Augmentation Based on Orthogonal Experiments
by: Zhao Pei, et al.
Published: (2019-09-01) -
Celebrity face recognition using deep learning
by: Ibrahim, Z., et al.
Published: (2018)