{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:46Z","timestamp":1740099826098,"version":"3.37.3"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T00:00:00Z","timestamp":1599091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,3]]},"DOI":"10.1109\/iccp51029.2020.9266169","type":"proceedings-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T21:23:22Z","timestamp":1606425802000},"page":"353-360","source":"Crossref","is-referenced-by-count":2,"title":["A Critical Evaluation of Aerial Datasets for Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Bianca-Cerasela-Zelia","family":"Blaga","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergiu","family":"Nedevschi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00160"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs71013895"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1525\/bio.2010.60.1.9"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486586"},{"key":"ref31","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"arXiv preprint arXiv 1510 00149"},{"key":"ref30","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":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2009.5354361"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CISP.2011.6100621"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/UKRICIS.2010.5898125"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2004.09.015"},{"key":"ref10","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.353"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref13","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2587642"},{"key":"ref17","first-page":"0","article-title":"Deep learning of appearance models for online object tracking","author":"zhai","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_45"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","volume":"37","author":"he","year":"2015","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2750080"},{"key":"ref4","article-title":"Towards automatic annotation for semantic segmentation in drone videos","author":"marcu","year":"2019","journal-title":"arXiv preprint arXiv 1910 12731"},{"key":"ref27","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)"},{"journal-title":"DroneDeploy machine learning segmentation benchmark","year":"2019","key":"ref3"},{"journal-title":"Logging threatens one of Europe&#x2019;s last virgin forests","year":"2015","author":"klawitter","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00081"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2480\/agrmet.D-17-00038"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"journal-title":"Exploring deep learning solutions for scene perception from UAVs using simulators and real data","year":"2019","author":"blaga","key":"ref1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995966"},{"key":"ref20","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref45","article-title":"Enet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"arXiv preprint arXiv 1606 02147"},{"journal-title":"Unreal Engine 4 for design visualization Developing stunning interactive visualizations animations and renderings","year":"2017","author":"shannon","key":"ref48"},{"key":"ref22","first-page":"379","article-title":"R-fcn: Object detection via regionbased fully convolutional networks","author":"dai","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref47","article-title":"AirSim: High-fidelity visual and physical simulation for autonomous vehicles","author":"shah","year":"2017","journal-title":"FSR"},{"key":"ref21","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":"ref42","article-title":"Dsnet for real-time driving scene semantic segmentation","author":"wang","year":"2018","journal-title":"arXiv preprint arXiv 1812 07636"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.04.005"},{"key":"ref26","article-title":"Deep learning for generic object detection: A survey","author":"liu","year":"2018","journal-title":"arXiv preprint arXiv 1809 02165"},{"journal-title":"Erfnet semantic segmentation architecture in tensor-flow","year":"2018","author":"restrepo","key":"ref43"},{"key":"ref25","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"}],"event":{"name":"2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)","start":{"date-parts":[[2020,9,3]]},"location":"Cluj-Napoca, Romania","end":{"date-parts":[[2020,9,5]]}},"container-title":["2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9266025\/9266027\/09266169.pdf?arnumber=9266169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:17:21Z","timestamp":1656375441000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9266169\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,3]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/iccp51029.2020.9266169","relation":{},"subject":[],"published":{"date-parts":[[2020,9,3]]}}}