Scaling up face masks detection with YOLO on a novel dataset-Reference-Cited by-同舟云学术

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Scaling up face masks detection with YOLO on a novel dataset

Published:2021-08 Issue: Volume:239 Page:166744
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Kumar Akhil,Kalia Arvind,Verma Kinshuk^ORCID,Sharma Akashdeep,Kaushal Manisha

Funder

All India Council for Technical Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference32 articles.

1. Hyper-realistic face masks: a new challenge in person identification;Sanders;Cogn. Res. Princ. Implic.,2020

2. You only look once: unified, real-time object detection;Redmon,2016

3. YOLO9000: better, faster, stronger;Redmon,2017

4. YOLOv3: An Incremental Improvement;Redmon,2018

5. YOLOv4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy,2020

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1. Artificial intelligence-based masked face detection: A survey;Intelligent Systems with Applications;2024-06

2. An Improved Face Mask Detection Simulation Algorithm Based on YOLOv5 Model;International Journal of Gaming and Computer-Mediated Simulations;2024-05-16

3. An improved personal protective equipment detection method based on YOLOv4;Multimedia Tools and Applications;2024-03-14

4. A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023);IEEE Access;2024

5. Surface Defect Detection of Remanufactured Products by Using the Improved Yolov5;Lecture Notes in Mechanical Engineering;2024

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