Recognition of Car Front Facing Style for Machine-Learning Data Annotation: A Quantitative Approach
Car front facing style (CFFS) recognition is crucial to enhancing a company’s market competitiveness and brand image. However, there is a problem impeding its development: with the sudden increase in style design information, the traditional methods, based on feature calculation, are insufficient to...
Main Authors: | Lisha Ma, Yu Wu, Qingnan Li, Xiaofang Yuan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/14/6/1181 |
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