Longitudinal Analysis of Mask and No-Mask on Child Face Recognition-Reference-Cited by-同舟云学术

Longitudinal Analysis of Mask and No-Mask on Child Face Recognition

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing
language:
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Author:

Chandaliya Praveen Kumar¹^ORCID,Akhtar Zahid²^ORCID,Nain Neeta³^ORCID

Affiliation:

1. Computer Science and Engineering, The LNM Institute of Information Technology Jaipur, IN and Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India

2. Network and Computer Security College, State University of New York Polytechnic Institute, US

3. Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India

Funder

Ministry of Electronics and Information Technology (MeitY), Government of India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571600.3571659

Reference27 articles.

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2. Keivan Bahmani and Stephanie Schuckers. 2022. Face Recognition In Children: A Longitudinal Study. In IWBF. 1–5. Keivan Bahmani and Stephanie Schuckers. 2022. Face Recognition In Children: A Longitudinal Study. In IWBF. 1–5.

3. Fadi Boutros , Naser Damer , and Kolf et. al. 2021 . MFR 2021: Masked Face Recognition Competition. In 2021 IEEE International Joint Conference on Biometrics (IJCB). 1–10 . Fadi Boutros, Naser Damer, and Kolf et. al. 2021. MFR 2021: Masked Face Recognition Competition. In 2021 IEEE International Joint Conference on Biometrics (IJCB). 1–10.

4. MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

5. CDC. 2020. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-guidance.html. CDC. 2020. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-guidance.html.

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