Towards interpretable & robust face recognition

Towards interpretable & robust face recognition

With the recent advancements of deep learning in computer vision, current state-of-the-art face recognition algorithms have surpassed human-level performance. However, they are not robust against constrained environments, especially image occlusions. To tackle the existing problem of occluded face...

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Bibliographic Details
Main Author: Pattra, Surya Paryanta
Other Authors: Lin Weisi
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/156565

Internet

https://hdl.handle.net/10356/156565

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