Comparative Study of VGG16 and MobileNetV2 for Masked Face Recognition
Abstract
Keywords
Full Text:
PDFReferences
WHO, “World Health Organization. Coronavirus disease 2019 (COVID-19),†2021.
N. P. E. D. Yanti, I. M. A. D. P. Nugraha, G. A. Wisnawa, N. P. D. Agustina, and N. P. A. Diantari, “Public Knowledge about Covid-19 and Public Behavior During the Covid-19 Pandemic,†J. Keperawatan Jiwa, vol. 8, no. 4, p. 491, 2020. https://doi.org/10.26714/jkj.8.4.2020.491-504
S. E. Hwang, J. H. Chang, O. Bumjo, and J. Heo, “Possible Aerosol Transmission of COVID-19 Associated with an Outbreak in an Apartment in Seoul, South Korea, 2020,†Int. J. Infect. Dis., vol. 104, pp. 73–76, 2021. https://doi.org/10.1016/j.ijid.2020.12.035
A. Patil, P. K. P, P. More, A. Joshi, and A. R. Kamble, “Attendance Monitoring using Face Recognition and Machine Learning,†Int. J. Futur. Gener. Commun. Netw., vol. 13, no. 3, pp. 94–102, 2020. https://doi.org/10.2139/ssrn.3529319
M. Surve, P. Joshi, S. Jamadar, and M. Vharkate, “Automatic Attendance System Using Face Recognition Technique,†Int. J. Recent Technol. Eng., vol. 9, no. 1, pp. 2134–2138, 2020. https://doi.org/10.35940/ijrte.A2644.059120
J. Mason, R. Dave, P. Chatterjee, I. Graham-Allen, A. Esterline, and K. Roy, “An Investigation of Biometric Authentication in the Healthcare Environment,†Array, vol. 8, no. August, p. 100042, 2020. https://doi.org/10.1016/j.array.2020.100042
A. Casanova, L. Cascone, A. Castiglione, W. Meng, and C. Pero, “User recognition based on periocular biometrics and touch dynamics,†Pattern Recognit. Lett., vol. 148, pp. 114–120, 2021. https://doi.org/10.1016/j.patrec.2021.05.006
I. Adjabi, A. Ouahabi, A. Benzaoui, and A. Taleb-Ahmed, “Past, present, and future of face recognition: A review,†Electron., vol. 9, no. 8, pp. 1–53, 2020. https://doi.org/10.3390/electronics9081188
A. Elmahmudi and H. Ugail, “Deep face recognition using imperfect facial data,†Futur. Gener. Comput. Syst., vol. 99, pp. 213–225, 2019. https://doi.org/10.1016/j.future.2019.04.025
L. Yang, J. Ma, J. Lian, Y. Zhang, and H. Liu, “Deep representation for partially occluded face verification,†Eurasip J. Image Video Process., vol. 2018, no. 1, 2018. https://doi.org/10.1186/s13640-018-0379-2
F. K. Zaman, A. A. Shafie, and Y. M. Mustafah, “Robust face recognition against expressions and partial occlusions,†Int. J. Autom. Comput., vol. 13, no. 4, pp. 319–337, 2016. https://doi.org/10.1007/s11633-016-0974-6
V. Aswal, O. Tupe, S. Shaikh, and N. N. Charniya, “Single Camera Masked Face Identification,†Proc. - 19th IEEE Int. Conf. Mach. Learn. Appl. ICMLA 2020, pp. 57–60, 2020. https://doi.org/10.1109/ICMLA51294.2020.00018
V. Wiley and T. Lucas, “Computer Vision and Image Processing: A Paper Review,†Int. J. Artif. Intell. Res., vol. 2, no. 1, p. 22, 2018. https://doi.org/10.29099/ijair.v2i1.42
Y. Gultom, A. M. Arymurthy, and R. J. Masikome, “Batik Classification using Deep Convolutional Network Transfer Learning,†J. Ilmu Komput. dan Inf., vol. 11, no. 2, p. 59, 2018. https://doi.org/10.21609/jiki.v11i2.507
A. Brodzicki, M. Piekarski, D. Kucharski, J. Jaworek-Korjakowska, and M. Gorgon, “Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets,†Found. Comput. Decis. Sci., vol. 45, no. 3, pp. 179–193, 2020. https://doi.org/10.2478/fcds-2020-0010
K. Y. Lum, Y. H. Goh, and Y. Bin Lee, “American sign language recognition based on MobileNetV2,†Adv. Sci. Technol. Eng. Syst., vol. 5, no. 6, pp. 481–488, 2020. https://doi.org/10.25046/aj050657
C. Ruvinga, D. Malathi, and J. D. Dorathi Jayaseeli, “Human concentration level recognition based on vgg16 cnn architecture,†Int. J. Adv. Sci. Technol., vol. 29, no. 6 Special Issue, pp. 1364–1373, 2020. http://sersc.org/journals/index.php/IJAST/article/view/9271
L. Hu and Q. Ge, “Automatic facial expression recognition based on MobileNetV2 in Real-time,†J. Phys. Conf. Ser., vol. 1549, no. 2, 2020. https://doi.org/10.1088/1742-6596/1549/2/022136
W. Dai, Y. Dai, K. Hirota, and Z. Jia, “A Flower Classification Approach with MobileNetV2 and Transfer Learning,†9th Int. Symp. Comput. Intell. Ind. Appl., pp. 1–5, 2020. https://isciia2020.bit.edu.cn/docs/20201114083020836285.pdf
C. Shorten and T. M. Khoshgoftaar, “A survey on Image Data Augmentation for Deep Learning,†J. Big Data, vol. 6, no. 1, 2019. https://doi.org/10.1186/s40537-019-0197-0
A. Ahmad, “Mengenal Artificial Intelligence, Machine Learning, Neural Network, dan Deep Learning,†J. Teknol. Indones., no. October, 2017. https://www.academia.edu/download/54674088/Perbedaan_Deep_learn.pdf
R. Primartha, “Belajar Machine Learning; Teori dan Praktik,†2018. http://repo.unikadelasalle.ac.id/index.php?p=show_detail&id=12893&keywords=
F. D. Adhinata, D. P. Rakhmadani, M. Wibowo, and A. Jayadi, “A Deep Learning Using DenseNet201 to Detect Masked or Non-masked Face,†vol. 9, no. 1, pp. 115–121, 2021. https://doi.org/10.30595/juita.v9i1.9624
K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,†3rd Int. Conf. Learn. Represent. ICLR 2015 - Conf. Track Proc., pp. 1–14, 2015. https://arxiv.org/abs/1409.1556v6
K. Gopalakrishnan, S. K. Khaitan, A. Choudhary, and A. Agrawal, “Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection,†Constr. Build. Mater., vol. 157, no. September, pp. 322–330, 2017. https://doi.org/10.1016/j.conbuildmat.2017.09.110
W. Nash, T. Drummond, and N. Birbilis, “A review of deep learning in the study of materials degradation,†npj Mater. Degrad., vol. 2, no. 1, pp. 1–12, 2018. https://doi.org/10.1038/s41529-018-0058-x
D. Yu, Q. Xu, H. Guo, C. Zhao, Y. Lin, and D. Li, “An efficient and lightweight convolutional neural network for remote sensing image scene classification,†Sensors (Switzerland), vol. 20, no. 7, 2020. https://doi.org/10.3390/s20071999
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. C. Chen, “MobileNetV2: Inverted Residuals and Linear Bottlenecks,†Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., pp. 4510–4520, 2018. https://doi.org/10.1109/CVPR.2018.00474
DOI: http://dx.doi.org/10.26555/jiteki.v7i2.20758
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Faisal Dharma Adhinata, Nia Annisa Ferani Tanjung, Widi Widayat, Gracia Rizka Pasfica, Fadlan Raka Satura
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
About the Journal | Journal Policies | Author | Information |
Organized by Electrical Engineering Department - Universitas Ahmad Dahlan
Published by Universitas Ahmad Dahlan
Website: http://journal.uad.ac.id/index.php/jiteki
Email 1: jiteki@ee.uad.ac.id