{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T16:16:39Z","timestamp":1785255399377,"version":"3.55.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378027","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"5592-5601","source":"Crossref","is-referenced-by-count":142,"title":["Road Damage Detection and Classification with Detectron2 and Faster R-CNN"],"prefix":"10.1109","author":[{"given":"Vung","family":"Pham","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chau","family":"Pham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tommy","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3406601.3406643"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.3390\/info11020125","article-title":"Albumentations: Fast and flexible image augmentations","volume":"11","author":"buslaev","year":"2020","journal-title":"Information"},{"key":"ref32","article-title":"Super fast color transfer between images","author":"rosebrock","year":"0"},{"key":"ref31","article-title":"Detectron2 model zoo","year":"0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1109\/BigData50022.2020.9377790","article-title":"Global road damage detection: State-of-the-art solutions","author":"arya","year":"2020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref35","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref10","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":"ref11","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref13","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref14","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020"},{"key":"ref15","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1520\/SSMS20190029"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3406601.3406644"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622599"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622354"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1201775.882269"},{"key":"ref4","article-title":"Global road damage detection challenge 2020","year":"0"},{"key":"ref27","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"karras","year":"2017"},{"key":"ref3","article-title":"Transfer learning-based road damage detection for multiple countries","author":"arya","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref29","article-title":"Detectron2","author":"wu","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.103910"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref2","article-title":"Road damage detection using deep neural networks with images captured through a smartphone","author":"maeda","year":"2018"},{"key":"ref9","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref1","article-title":"Scagcnn: Estimating visual characterizations of 2d scatterplots via convolution neural network","author":"pham","year":"0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8621899"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622318"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500469"},{"key":"ref26","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12561"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","location":"Atlanta, GA, USA","start":{"date-parts":[[2020,12,10]]},"end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378027.pdf?arnumber=9378027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T00:56:31Z","timestamp":1671670591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378027\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378027","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}