Towards interpretable & robust occluded facial recognition

• Main Author: Rachita, Agrawal
• Other Authors: Lin Weisi
• Format: Final Year Project
• 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
• Institution: Nanyang Technological University

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...