{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T20:39:05Z","timestamp":1778186345730,"version":"3.51.4"},"reference-count":72,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T00:00:00Z","timestamp":1640044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T00:00:00Z","timestamp":1640044800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T00:00:00Z","timestamp":1640044800000},"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":[[2021,12,21]]},"DOI":"10.1109\/acit53391.2021.9677361","type":"proceedings-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T16:26:35Z","timestamp":1642436795000},"page":"1-8","source":"Crossref","is-referenced-by-count":10,"title":["Leveraging Deep Learning for Computer Vision: A Review"],"prefix":"10.1109","author":[{"given":"Ekram","family":"Alam","sequence":"first","affiliation":[]},{"given":"Abu","family":"Sufian","sequence":"additional","affiliation":[]},{"given":"Akhil Kumar","family":"Das","sequence":"additional","affiliation":[]},{"given":"Arijit","family":"Bhattacharya","sequence":"additional","affiliation":[]},{"given":"Md Firoj","family":"Ali","sequence":"additional","affiliation":[]},{"given":"M. M. Hafizur","family":"Rahman","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref72","first-page":"75","article-title":"Visual question answering using deep learning: A survey and performance analysis","author":"srivastava","year":"2020","journal-title":"International Conference on Computer Vision and Image Processing"},{"key":"ref71","first-page":"107538","article-title":"DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression","author":"bai","year":"2020","journal-title":"Pattern Recognition"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.08.003"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01445-x"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/app7010110"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref32","first-page":"4700","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref30","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1922649.1922653"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/PARC49193.2020.236672"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00444-8"},{"key":"ref34","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.023"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.47994"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046478"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102897"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01369-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2015.1015631"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10040471"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/app9102110"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-1286-5_19"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2904267"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.07.016"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref1","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"ref22","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143865"},{"key":"ref24","first-page":"1","article-title":"Sparse autoencoder","volume":"72","author":"ng","year":"2011","journal-title":"Cs294a lecture notes"},{"key":"ref23","first-page":"643","article-title":"Learning algorithms for the classification restricted boltzmann machine","volume":"13","author":"larochelle","year":"2012","journal-title":"The Journal of Machine Learning Research"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref25","first-page":"1137","article-title":"Efficient learning of sparse representations with an energy-based model","author":"ranzato","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3295748"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105920"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"102062","DOI":"10.1016\/j.media.2021.102062","article-title":"A survey on active learning and human-in-the-loop deep learning for medical image analysis","author":"budd","year":"2021","journal-title":"Medical Image Analysis"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101759"},{"key":"ref57","article-title":"Deep image retrieval: A survey","author":"chen","year":"2021"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2984703"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s40305-019-00287-4"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0458-z"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2983860"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2019.04.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106062"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02293-7"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/AFRICA.2019.8843403"},{"key":"ref12","article-title":"Deep learning in Computer Vision through Mobile Edge Computing for IoT","author":"sufian","year":"2020","journal-title":"accepted as book chapter in Springer's edited volume"},{"key":"ref13","article-title":"Artificial intelligence: a modern approach","author":"russell","year":"2002"},{"key":"ref14","author":"alpaydin","year":"2020","journal-title":"Introduction to Machine Learning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1968.sp008455"},{"key":"ref16","first-page":"396","article-title":"Handwritten digit recognition with a backpropagation network","author":"lecun","year":"1990","journal-title":"Advances in neural information processing systems"},{"key":"ref17","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CISS50987.2021.9400321"},{"key":"ref3","year":"0","journal-title":"Google colab"},{"key":"ref6","article-title":"Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis","volume":"2021","author":"abirami","year":"2021","journal-title":"Complexity"},{"key":"ref5","author":"szeliski","year":"2010","journal-title":"Computer Vision Algorithms and Applications"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRCICN.2018.8718718"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00826"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4288-6_1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.04.033"},{"key":"ref45","article-title":"Going Deeper Into Face Detection: A Survey","author":"minaee","year":"2021"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-020-1582-8"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISBIWorkshops50223.2020.9153411"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IC2IE50715.2020.9274654"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-8715-9_50"},{"key":"ref43","article-title":"Masked face recognition for secure authentication","author":"anwar","year":"2020"}],"event":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","location":"Muscat, Oman","start":{"date-parts":[[2021,12,21]]},"end":{"date-parts":[[2021,12,23]]}},"container-title":["2021 22nd International Arab Conference on Information Technology (ACIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9677036\/9677041\/09677361.pdf?arnumber=9677361","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:57:48Z","timestamp":1652187468000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9677361\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,21]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/acit53391.2021.9677361","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.19346642.v1","asserted-by":"object"}]},"subject":[],"published":{"date-parts":[[2021,12,21]]}}}