{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T11:43:33Z","timestamp":1782301413291,"version":"3.54.5"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228494","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["FMR-DBv2: an Improved Database for Mask and Respirator Type and FFP Protection Level Recognition Through Deep Learning"],"prefix":"10.1109","author":[{"given":"Antonio Costantino","family":"Marceddu","sequence":"first","affiliation":[{"name":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola","family":"Dilillo","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luigi","family":"Di Sergio","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pietro","family":"Ruiu","sequence":"additional","affiliation":[{"name":"Universit&#x00E0; Degli Studi di Sassari,Department of Engineering,Sassari,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Lagorio","sequence":"additional","affiliation":[{"name":"Universit&#x00E0; Degli Studi di Sassari,Department of Engineering,Sassari,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo","family":"Casu","sequence":"additional","affiliation":[{"name":"Universit&#x00E0; Degli Studi di Sassari,Department of Engineering,Sassari,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrico","family":"Grosso","sequence":"additional","affiliation":[{"name":"Universit&#x00E0; Degli Studi di Sassari,Department of Engineering,Sassari,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renato","family":"Ferrero","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bartolomeo","family":"Montrucchio","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Department of Control and Computer Engineering,Turin,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Advice on the use of masks in the context of COVID-19: interim guidance, 5 june 2020","year":"2020","journal-title":"World Health Organization, Technical documents"},{"key":"ref2","article-title":"Types of masks and respirators","volume-title":"CDC Guidelines","year":"2021"},{"key":"ref3","article-title":"Respiratory protection standards","volume-title":"OSHA Standards"},{"key":"ref4","article-title":"Face masks, including surgical masks, and respirators for COVID-19","volume-title":"FDA Regulations","year":"2021"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2016.91","article-title":"You only look once: unified, real-time object detection","author":"Redmon","year":"2016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref7","article-title":"Microsoft COCO: common objects in context","author":"Lin","year":"2015"},{"key":"ref8","article-title":"Classifying between masked faces and normal faces with CNN and SSH","author":"Pham","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CIS2018.2018.00031"},{"key":"ref10","first-page":"546","article-title":"Detection of partially occluded face using support vector machines","volume-title":"IAPR Workshop on Machine Vision Applications (IAPR MVA 2002)","author":"Yoon"},{"key":"ref11","article-title":"Deep residual learning for image recognition","author":"He","year":"2015"},{"key":"ref12","article-title":"Mask classifier","author":"Bhandary","year":"2020"},{"key":"ref13","article-title":"COVID-19: face mask detector with OpenCV, Keras\/TensorFlow, and deep learning","author":"Rosebrock","year":"2020"},{"key":"ref14","article-title":"Mask classifier","author":"Muritala","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66665-1_6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref17","article-title":"MobileNets: efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref18","article-title":"MobileNetV2: inverted residuals and linear bottlenecks","author":"Sandler","year":"2019"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2017.195","article-title":"Xception: deep learning with depthwise separable convolutions","author":"Chollet","year":"2017"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SoutheastCon45413.2021.9401874"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.smhl.2020.100144"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2970919"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC54236.2022.00165"},{"key":"ref25","article-title":"Medical mask dataset","year":"2020"},{"key":"ref26","article-title":"Which mask are you wearing? Face mask type detection with TensorFlow and Raspberry Pi","author":"Wang","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC51774.2021.00221"},{"issue":"5","key":"ref28","article-title":"How to correctly detect face-masks for COVID-19 from visual information?","volume-title":"Applied Sciences","volume":"11","author":"Batagelj","year":"2021"},{"key":"ref29","article-title":"Facial masks and respirators database (fmr-db)","author":"Marceddu","year":"2020","journal-title":"IEEE Dataport"},{"key":"ref30","article-title":"An image is worth 16x16 words: transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00064"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01170"},{"key":"ref35","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"Transactions on Machine Learning Research Journal"},{"key":"ref36","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref37","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning","author":"Tan"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01548"},{"key":"ref39","article-title":"YOLOv12: attention-centric real-time object detectors","author":"Tian","year":"2025"},{"key":"ref40","article-title":"Yolov11","volume-title":"Ultralytics","author":"Jocher","year":"2024"},{"key":"ref41","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2019"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","location":"Rome, Italy","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228494.pdf?arnumber=11228494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:40:11Z","timestamp":1763192411000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228494\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228494","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}