{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:13:23Z","timestamp":1730225603615,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"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":[[2022,5,16]]},"DOI":"10.1109\/i2mtc48687.2022.9806702","type":"proceedings-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:42:14Z","timestamp":1656603734000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Panoptic Segmentation of Animal Fibers"],"prefix":"10.1109","author":[{"given":"Oliver","family":"Rippel","sequence":"first","affiliation":[{"name":"RWTH Aachen University,Institute of Imaging &amp; Computer Vision,Aachen,Germany"}]},{"given":"Nikolaj","family":"Schonfelder","sequence":"additional","affiliation":[{"name":"RWTH Aachen University,Institute of Imaging &amp; Computer Vision,Aachen,Germany"}]},{"given":"Khosrow","family":"Rahimi","sequence":"additional","affiliation":[{"name":"DWI&#x2013;Leibniz-Institut f&#x00FC;r Interaktive Materialien,Aachen,Germany"}]},{"given":"Juliana","family":"Kurniadi","sequence":"additional","affiliation":[{"name":"DWI&#x2013;Leibniz-Institut f&#x00FC;r Interaktive Materialien,Aachen,Germany"}]},{"given":"Andreas","family":"Herrmann","sequence":"additional","affiliation":[{"name":"DWI&#x2013;Leibniz-Institut f&#x00FC;r Interaktive Materialien,Aachen,Germany"}]},{"given":"Dorit","family":"Merhof","sequence":"additional","affiliation":[{"name":"RWTH Aachen University,Institute of Imaging &amp; Computer Vision,Aachen,Germany"}]}],"member":"263","reference":[{"key":"ref39","first-page":"3239","article-title":"Realistic evaluation of deep semi-supervised learning algorithms","author":"oliver","year":"2018","journal-title":"Proceedings of the 32Nd International Conference on Neural Information Processing Systems ser NIPS&#x2019;18"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"journal-title":"Digital Image Processing","year":"2008","author":"gonzalez","key":"ref33"},{"key":"ref32","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":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00902"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref35","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1177\/004051759206200710"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/004051759706701007"},{"key":"ref40","first-page":"3833","article-title":"Rethinking pre-training and self-training","volume":"33","author":"zoph","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/004051750007000205"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.micron.2019.102768"},{"key":"ref13","first-page":"1","article-title":"The application of deep and transfer learning for identifying cashmere and wool fibers","volume":"0","author":"xing","year":"2020","journal-title":"Journal of Natural Fibers"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC50364.2021.9460000"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2965635"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3001796"},{"key":"ref18","first-page":"1","article-title":"Faminet: Learning real-time semi-supervised video object segmentation with steepest optimized optical flow","author":"liu","year":"2021","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3124835"},{"key":"ref28","first-page":"6023","article-title":"Cutmix: Regularization strategy to train strong classifiers with localizable features","author":"yun","year":"2019","journal-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-85573-540-8.50020-1"},{"key":"ref27","article-title":"Semi-supervised semantic segmentation needs strong, varied perturbations","author":"french","year":"2020","journal-title":"31st British Machine Vision Conference 2020 BMVC 2020 Virtual Event UK September 7-10 2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/dpr.12074"},{"journal-title":"AATCC Technical Manual","article-title":"Test method 20a-2000, fiber analysis: quantitative","year":"2008","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3052951"},{"year":"2000","key":"ref5","article-title":"Test method no. iwto-58-00: Scanning electron microscopic analysis of speciality fibres and sheep&#x2019;s wool and their blends"},{"key":"ref8","article-title":"Microscope analysis of animal fiber blends - training of operators","author":"zhang","year":"2005","journal-title":"Tech Rep"},{"journal-title":"Standard methods for quantitative analysis of textiles method d629-88","year":"1993","key":"ref7"},{"year":"2018","key":"ref2","article-title":"Statistics for the global wool production and textile industry"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/004051759106100701"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-101272-7.00004-3"},{"journal-title":"Semi-Supervised Learning","year":"2010","author":"chapelle","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_2"},{"key":"ref21","first-page":"63","article-title":"Semi-supervised skin lesion segmentation via transformation consistent self-ensembling model","author":"li","year":"2018","journal-title":"British Machine Vision Conference 2018 BMVC 2018 Newcastle UK September 3-6 2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"},{"key":"ref26","first-page":"6","article-title":"Temporal ensembling for semi-supervised learning","volume":"4","author":"samuli","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref25","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","start":{"date-parts":[[2022,5,16]]},"location":"Ottawa, ON, Canada","end":{"date-parts":[[2022,5,19]]}},"container-title":["2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9806445\/9806446\/09806702.pdf?arnumber=9806702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T16:17:59Z","timestamp":1658765879000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9806702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/i2mtc48687.2022.9806702","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}