Detection of Face Mask in Thermal Images Using Deep CNN
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9705-0_15
Reference17 articles.
1. Agarwal, S., Sikchi, H.S., Rooj, S., Bhattacharya, S., Routray, A.: Illumination-invariant face recognition by fusing thermal and visual images via gradient transfer. In: Arai, K., Kapoor, S. (eds.) Advances in Computer Vision, pp. 658–670. Springer International Publishing, Cham (2020)
2. Das, A., Wasif Ansari, M., Basak, R.: Covid-19 face mask detection using tensorflow, keras and OpenCV. In: 2020 IEEE 17th India Council International Conference (INDICON), pp. 1–5 (2020). https://doi.org/10.1109/INDICON49873.2020.9342585
3. Hariri, W., Narin, A.: Deep neural networks for covid-19 detection and diagnosis using images and acoustic-based techniques: a recent review (2021)
4. Jiang, M., Fan, X., Yan, H.: RetinaMask: a face mask detector (2020)
5. Krišto, M., Ivasic-Kos, M.: An overview of thermal face recognition methods. In: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1098–1103 (2018). https://doi.org/10.23919/MIPRO.2018.8400200
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1. Mask Detection and Classification in Thermal Face Images;IEEE Access;2023
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