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Recently, deep learning algorithms with high accuracy have been actively applied to face recognition technology. In the existing facial recognition algorithm, recognition was performed using a combination of high features defined by humans such as Harr-like features. There is a limitation in finding the optimal feature shape and combination in the way that a person defines features in advance. In contrast, the deep learning algorithm finds the optimal feature shape and combination for the situation by itself, and shows higher performance than the existing algorithm. |
IEEE/ICACT20210188 Slide.03
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