Detecting incorrect mask wearing using out-of-distribution detection
Face mask detection has been a significant task since the Covid-19 pandemic began in early 2020. While various researches on mask-face detection techniques up to 2021 are available, only a few have been studied on the three classes (i.e., wearing mask, without mask, and incorrect mask-wearing). This...
Saved in:
Main Author: | Hu, Youwen |
---|---|
Other Authors: | Lin Zhiping |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/162742 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine learning techniques and systems for mask-face detection—survey and a new OOD-mask approach
by: Hu, Youwen, et al.
Published: (2023) -
Face tracking for people with or without wearing face masks
by: Teh, Boon Jie
Published: (2021) -
Face mask detection of dense crowds using deep learning
by: Shangguan, Yuexi
Published: (2022) -
Incorrectness logic for graph programs
by: POSKITT, Christopher M.
Published: (2021) -
Towards out-of-distribution detection for object detection networks
by: Kanodia, Ritwik
Published: (2022)