{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:23:41Z","timestamp":1730265821135,"version":"3.28.0"},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852102","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Yao","family":"Tan","sequence":"first","affiliation":[]},{"given":"Qinghua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Zhibin","family":"Du","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"999","article-title":"Support vector machine active learning with applications to text classification","volume":"2","author":"tong","year":"2002","journal-title":"Machine Learning Research"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613855"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2513092.2513094"},{"key":"ref32","first-page":"593","article-title":"Discriminative batch mode active learning","author":"guo","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.60"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71496-5_24"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007330508534"},{"key":"ref36","first-page":"1","article-title":"Exploring representativeness and informativeness for active learning","volume":"pp","author":"du","year":"2015","journal-title":"IEEE Transactions on Cybernetics"},{"article-title":"Active learning for convolutional neural networks: A core-set approach","year":"2018","author":"sener","key":"ref35"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2356470"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref27","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2015"},{"key":"ref29","first-page":"59","article-title":"Incorporating diversity in active learning with support vector machines","author":"brinker","year":"2003","journal-title":"Proceedings of the 20th International Conference on Machine Learning (ICML-03)"},{"article-title":"Cost-effective active learning for melanoma segmentation","year":"2017","author":"gorriz","key":"ref2"},{"article-title":"A review on deep learning techniques applied to semantic segmentation","year":"2017","author":"garcia-garcia","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.04.005"},{"key":"ref22","first-page":"127131","article-title":"Active learning literature survey","volume":"39","author":"settles","year":"2009","journal-title":"University of Wisconsin-Madison"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2307881"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206627"},{"article-title":"Deep bayesian active learning with image data","year":"2017","author":"gal","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2589879"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.116"},{"key":"ref50","article-title":"Bayesian convolutional neural networks with bernoulli approximate variational inference","author":"gal","year":"2015","journal-title":"Computer Science"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1145\/1015706.1015720","article-title":"grabcut&#x201D;: interactive foreground extraction using iterated graph cuts","volume":"23","author":"rother","year":"2004","journal-title":"ACM Trans Graphics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0109-1"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2093153.2093154"},{"key":"ref12","first-page":"357","article-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs","author":"chen","year":"2014","journal-title":"Computer Science"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref14","first-page":"1","article-title":"Fully convolutional networks for semantic segmentation","volume":"pp","author":"long","year":"2014","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref15","first-page":"1","article-title":"Segnet: A deep convolutional encoder-decoder architecture for scene segmentation","volume":"pp","author":"badrinarayanan","year":"2015","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref16","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015"},{"article-title":"Rethinking atrous convolution for semantic image segmentation","year":"2017","author":"chen","key":"ref17"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-01234-2_49","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5244\/C.23.84"},{"article-title":"Vehicle instance segmentation from aerial image and video using a multi-task learning residual fully convolutional network","year":"2018","author":"mou","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654948"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127824"},{"key":"ref49","first-page":"6581","article-title":"Facility location : concepts, models, algorithms and case studies","volume":"28","author":"zanjirani farahani","year":"2009","journal-title":"Applications and theory"},{"article-title":"A survey of semantic segmentation","year":"2016","author":"thoma","key":"ref9"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2011.04.003"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0272-7"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1049\/el.2011.1409"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248108"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2542184"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.36"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30217-6_2"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852102.pdf?arnumber=8852102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:29Z","timestamp":1658094929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852102\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852102","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}