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About Deep Face Recognition: A Survey: Mei Wang, Weihong Deng
This document summarizes recent developments in deep face recognition. It discusses how early face recognition methods made slow progress improving accuracy, but deep learning approaches since 2014 using convolutional neural networks have dramatically improved state-of-the-art performance. The document outlines different deep network architectures and loss functions used, and reviews databases and evaluation protocols. It also covers challenges like handling variations in poses, lighting and expressions.
Detailed Information
Author: | ['Gita'] |
---|---|
Publication Year: | 2021 |
Pages: | 31 |
Language: | English |
Format: | |
Price: | FREE |
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