{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:25:00Z","timestamp":1730255100998,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956559","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"449-456","source":"Crossref","is-referenced-by-count":1,"title":["Resolution Transfer for Object Detection from Satellite Imagery"],"prefix":"10.1109","author":[{"given":"Florence","family":"Yellin","sequence":"first","affiliation":[{"name":"Kitware, Inc.,Clifton Park,NY,USA,12065"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Smith","sequence":"additional","affiliation":[{"name":"Kitware, Inc.,Clifton Park,NY,USA,12065"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Albright","sequence":"additional","affiliation":[{"name":"Kitware, Inc.,Clifton Park,NY,USA,12065"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott","family":"McCloskey","sequence":"additional","affiliation":[{"name":"Kitware, Inc.,Clifton Park,NY,USA,12065"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"article-title":"Micro-ct synthesis and inner ear super resolution via bayesian generative adversarial networks","year":"2020","author":"li","key":"ref38"},{"key":"ref33","article-title":"Creating xbd: A dataset for assessing building damage from satellite imagery","author":"gupta","year":"2019","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00025"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00108"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00083"},{"article-title":"Yolov3: An incremental improvement","year":"2018","author":"redmon","key":"ref37"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"article-title":"The relativistic discriminator: a key element missing from standard gan","year":"2018","author":"jolicoeur-martineau","key":"ref35"},{"key":"ref34","first-page":"0","article-title":"Esrgan: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops"},{"key":"ref10","first-page":"195","article-title":"Augmented cyclegan: Learning many-to-many mappings from unpaired data","author":"almahairi","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033210"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.50"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1007\/978-3-319-10593-2_13","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Computer Vision &#x2013; ECCV 2014"},{"key":"ref16","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00388"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00267"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_60"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1007\/978-3-030-58607-2_38","article-title":"Scene text image super-resolution in the wild","author":"wang","year":"2020","journal-title":"Computer Vision &#x2013; ECCV 2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093358"},{"year":"0","key":"ref3","article-title":"Ug2 challenge 2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00184"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"ref7","first-page":"718","article-title":"Auggan: Cross domain adaptation with gan-based data augmentation","author":"huang","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"year":"0","key":"ref2","article-title":"Icdar 2015 competition on text image super-resolution"},{"key":"ref9","first-page":"172","article-title":"Multimodal unsupervised image-to-image translation","author":"huang","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref1","article-title":"Bridging the gap between computational photography and visual recognition","author":"vidalmata","year":"2020","journal-title":"IEEE TPAMI"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.9136"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_50"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00189"},{"key":"ref23","first-page":"1989","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956559.pdf?arnumber=9956559","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:41Z","timestamp":1671480221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956559\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956559","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}