Gender classification using custom convolutional neural networks architecture
Gender classification demonstrates high accuracy in many previous works. However, it does not generalize very well in unconstrained settings and environments. Furthermore, many proposed convolutional neural network (CNN) based solutions vary significantly in their characteristics and architectures,...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science,
2020
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| Online Access: | View Fulltext in Publisher View in Scopus |