{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:14:40Z","timestamp":1759335280309,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T00:00:00Z","timestamp":1604448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T00:00:00Z","timestamp":1604448000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T00:00:00Z","timestamp":1604448000000},"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":[[2020,11,4]]},"DOI":"10.1109\/ssrr50563.2020.9292631","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T16:54:06Z","timestamp":1643734446000},"page":"246-251","source":"Crossref","is-referenced-by-count":1,"title":["FENet: Fast Real-time Semantic Edge Detection Network"],"prefix":"10.1109","author":[{"given":"Yang","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Rundong","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Gary","family":"McGrath","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Loianno","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594358"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00053"},{"key":"ref12","article-title":"Dedge-AGMNet: A Robust Multi-task Learning Network for Stereo Matching and Depth Edge Detection","volume":"8","author":"yang","year":"0","journal-title":"European Conference on Artificial Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01368"},{"key":"ref14","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $< 0.5\\mathrm{MB}$ model size","volume":"2","author":"iandola","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref15","article-title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","author":"howard","year":"2017","journal-title":"CoRR"},{"key":"ref16","first-page":"1","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","volume":"9","author":"simonyan","year":"0","journal-title":"International Conference on Learning Representations (ICRL)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref18","first-page":"116","article-title":"ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design","author":"ma","year":"0","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref19","first-page":"405","article-title":"ICNet for Real-Time Semantic Segmentation on High-Resolution Images","author":"zhao","year":"0","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/110"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01133"},{"journal-title":"FastFCN Rethinking Dilated Convolution in the Backbone for Semantic Segmentation","year":"2019","author":"wu","key":"ref6"},{"journal-title":"Panoptic Edge Detection","year":"2019","author":"hu","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref7","first-page":"285","article-title":"NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications","author":"yang","year":"0","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref2","first-page":"388","article-title":"Simultaneous Edge Alignment and Learning","author":"yu","year":"0","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.191"},{"key":"ref20","volume":"7","author":"hu","year":"2016","journal-title":"Network trimming A data-driven neuron pruning approach towards efficient deep architectures"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1273918"}],"event":{"name":"2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)","start":{"date-parts":[[2020,11,4]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2020,11,6]]}},"container-title":["2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9292568\/9292569\/09292631.pdf?arnumber=9292631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T21:05:03Z","timestamp":1656623103000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9292631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ssrr50563.2020.9292631","relation":{},"subject":[],"published":{"date-parts":[[2020,11,4]]}}}