Facial Age Estimation using Synthetic Data Augmentation and Training Set Re-Selection
碩士 === 國立臺灣科技大學 === 機械工程系 === 106 === Classification and regression models can be made biased from training data imbalance. The data for studying facial age estimation is often imbalanced in that the facial samples for seniors are often less than those for juniors, and the more aged the subjects are...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/fr2bv5 |