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About Deep Learning For Face Recognition: A Critical Analysis: Andrew Jason Shepley
The document provides a critical analysis of deep learning techniques for face recognition. It discusses how deep convolutional neural networks (DCNNs) have significantly improved accuracy on face recognition tasks compared to previous methods. However, DCNNs also have high computational costs and issues with occlusion, illumination, and pose variance. The document aims to comprehensively review face detection and recognition methods from 2003 to 2018, identify limitations, and highlight areas for future improvement to make systems more efficient, accurate, and applicable to real-world use cases.
Detailed Information
Author: | ['CNS CNS'] |
---|---|
Publication Year: | 2021 |
Pages: | 27 |
Language: | English |
Format: | |
Price: | FREE |
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