{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:32:13Z","timestamp":1730266333531,"version":"3.28.0"},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851713","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["CSSD: Cascade Single Shot Face Detector"],"prefix":"10.1109","author":[{"given":"Shuainan","family":"Wang","sequence":"first","affiliation":[]},{"given":"Tong","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Haifeng","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","article-title":"Densebox: Unifying land- mark localization with end to end object detection","author":"huang","year":"2015","journal-title":"arXiv preprint arXiv 1509 04874"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.522"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.166"},{"key":"ref31","first-page":"354","article-title":"A unified multi-scale deep convolutional neural network for fast object detection","author":"cai","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.419"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.82"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299170"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref34","article-title":"Detecting faces using region-based fully convolutional networks","author":"wang","year":"2017","journal-title":"arXiv preprint arXiv 1709 04396"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899705"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2014.6996284"},{"key":"ref29","article-title":"Face detection through scale-friendly deep convolutional networks","author":"yang","year":"2017","journal-title":"arXiv preprint arXiv 1706 02863"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.23"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2014.6996284"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref21","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref24","first-page":"761","article-title":"Training region-based object detectors with online hard example mining","author":"shrivastava","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref23","article-title":"Single-shot refinement neural network for object detection[J]","author":"zhang","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref26","article-title":"Fddb: A benchmark for face detection in unconstrained settings","author":"jain","year":"2010","journal-title":"Technical Report UM-CS-2010-009 University of Massachusetts Amherst Tech Rep"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.30"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_8"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900151"},{"key":"ref52","first-page":"5127","article-title":"Seeing small faces from robust anchors perspective","author":"zhu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref11","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref40","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref12","first-page":"379","article-title":"R-fcn: Object detection via region- based fully convolutional networks","author":"dai","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref14","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.82"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.030"},{"key":"ref18","article-title":"Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection","author":"zhu","year":"2016","journal-title":"arXiv preprint arXiv 1606 05413"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.596"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref3","first-page":"6","article-title":"Deep face recognition","volume":"1","author":"parkhi","year":"2015","journal-title":"BMVC"},{"key":"ref6","first-page":"1891","article-title":"Deep learning face representation from predicting 10,000 classes","author":"sun","year":"2014","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref5","first-page":"787","article-title":"High-fidelity pose and expression normalization for face recognition in the wild","author":"zhu","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref8","first-page":"1","article-title":"Face tracking and recognition with visual constraints in real-world videos","author":"kim","year":"2008","journal-title":"Computer Vision and Pattern Recognition 2008 CVPR 2008 IEEE Conference on"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_47"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749408"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2014.6996284"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299170"},{"key":"ref42","article-title":"Squeeze-and-excitation networks","volume":"7","author":"hu","year":"2017","journal-title":"arXiv preprint arXiv 1709 04396"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref44","article-title":"Face attention network: An effective face detector for the occluded faces","author":"wang","year":"2017","journal-title":"arXiv preprint arXiv 1711 03890"},{"key":"ref43","article-title":"Detecting faces using region-based fully convolutional networks","author":"wang","year":"2017","journal-title":"arXiv preprint arXiv 1709 04396"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851713.pdf?arnumber=8851713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:54:36Z","timestamp":1658094876000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851713\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851713","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}