Towards interpretable & robust occluded facial recognition

Towards interpretable & robust occluded facial recognition

With rapid technological advances, robust facial recognition systems have become necessary to strengthen security, and deep Convolutional Neural Networks are gaining popularity in enhancing such systems. However, facial recognition algorithms still face challenges when tested in real-world scenarios...

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Bibliographic Details
Main Author: Rachita, Agrawal
Other Authors: Lin Weisi
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/166085

Internet

https://hdl.handle.net/10356/166085

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