{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T21:42:09Z","timestamp":1774993329515,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,20]],"date-time":"2020-09-20T00:00:00Z","timestamp":1600560000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,20]],"date-time":"2020-09-20T00:00:00Z","timestamp":1600560000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,20]],"date-time":"2020-09-20T00:00:00Z","timestamp":1600560000000},"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":[[2020,9,20]]},"DOI":"10.1109\/itsc45102.2020.9294722","type":"proceedings-article","created":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T23:14:55Z","timestamp":1608851695000},"page":"1-6","source":"Crossref","is-referenced-by-count":14,"title":["Railroad semantic segmentation on high-resolution images"],"prefix":"10.1109","author":[{"given":"Sergey","family":"Belyaev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Igor","family":"Popov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladislav","family":"Shubnikov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pavel","family":"Popov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ekaterina","family":"Boltenkova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniil","family":"Savchuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","article-title":"Cyclical Learning Rates for Training Neural Networks","author":"smith","year":"2015","journal-title":"arXiv preprint arXiv 1506 01186"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref30","article-title":"RailSem19: A Dataset for Semantic Rail Scene Understanding","author":"zendel","year":"2019","journal-title":"CVPR Workshops"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref12","article-title":"In defense of pretrained imagenet architectures for real-time semantic segmentation of road-driving images","author":"or\u0161i?","year":"2019","journal-title":"CVPR"},{"key":"ref13","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref15","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv preprint arXiv 1706 05587"},{"key":"ref16","article-title":"Ocnet: Object context network for scene parsing","author":"yuan","year":"2018","journal-title":"arXiv preprint arXiv 1809 00916"},{"key":"ref17","article-title":"CCNet: Criss-cross attention for semantic segmentation","author":"huang","year":"2018","journal-title":"arXiv preprint arXiv 1811 11721"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/12.2532697"},{"key":"ref19","article-title":"FastFCN: Rethinking dilated convolution in the backbone for semantic segmentation","author":"wu","year":"2019","journal-title":"arXiv preprint arXiv 1903 11816"},{"key":"ref28","article-title":"Spgnet: Semantic prediction guidance for scene parsing","author":"chen","year":"2019","journal-title":"ICCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952544"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00975"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-0846-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18100\/ijamec.270634"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.91"},{"key":"ref5","article-title":"Detection of Rail Switch Passages Through Image Processing on Railway Line and Use of Condition-Monitoring Approach","author":"karakose","year":"2016","journal-title":"ICAT"},{"key":"ref8","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"2015","journal-title":"arXiv preprint arXiv 1505 04597"},{"key":"ref7","article-title":"A vision-based approach for tramway rail extraction","author":"zwemer","year":"2015","journal-title":"Proc SPIE-Int Soc Opt Eng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2009.5309526"},{"key":"ref9","article-title":"Enet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"arXiv preprint arXiv 1606 02147"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2945633"},{"key":"ref20","article-title":"ELKPPNet: An Edge - aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation","author":"zheng","year":"2019","journal-title":"arXiv preprint arXiv 1906 1142"},{"key":"ref22","first-page":"270","article-title":"PSANet: Pointwise spatial attention network for scene parsing","author":"zhao","year":"2018","journal-title":"European Conference on Computer Vision"},{"key":"ref21","article-title":"Dual attention network for scene segmentation","author":"fu","year":"2018","journal-title":"arXiv preprint arXiv 1809 02983"},{"key":"ref24","article-title":"Selfattention generative adversarial networks","author":"zhang","year":"2018","journal-title":"arXiv preprint arXiv 1805 08318"},{"key":"ref23","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref26","article-title":"Bisenet: Bilateral segmentation network for real-time semantic segmentation","author":"yu","year":"2018","journal-title":"arXiv preprint arXiv 1808 00897"},{"key":"ref25","first-page":"405","article-title":"ICNet for real-time semantic segmentation on highresolution images","author":"zhao","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision"}],"event":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","location":"Rhodes, Greece","start":{"date-parts":[[2020,9,20]]},"end":{"date-parts":[[2020,9,23]]}},"container-title":["2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9294153\/9294168\/09294722.pdf?arnumber=9294722","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:55:03Z","timestamp":1656453303000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9294722\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,20]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/itsc45102.2020.9294722","relation":{},"subject":[],"published":{"date-parts":[[2020,9,20]]}}}