{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T15:53:18Z","timestamp":1730303598712,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/vtc2020-fall49728.2020.9348862","type":"proceedings-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T19:19:11Z","timestamp":1613589551000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["DaliNet: Lighter, deeper and larger field of vision"],"prefix":"10.1109","author":[{"given":"Hao","family":"Fu","sequence":"first","affiliation":[]},{"given":"Yuyan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhipeng","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jiazheng","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Tian","family":"Xia","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U- net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015"},{"key":"ref11","article-title":"Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation","author":"sandler","year":"2018","journal-title":"CoRR"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref12"},{"key":"ref13","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref14","first-page":"1013","article-title":"Multinet: Real-time joint semantic reasoning for autonomous driving","author":"teichmann","year":"2016","journal-title":"IEEE Intelligent Vehicles Symposium (IV)"},{"key":"ref15","article-title":"Segnet:A deep convolutional encoder-decoder architecture for image segmentation","author":"kendall","year":"2017","journal-title":"The IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","first-page":"770","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref6","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems 25"},{"key":"ref5","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"journal-title":"Deeplab Semantic image segmentation with deep convolutional nets atrous convolution and fully connected crfs","year":"2018","author":"kokkinos","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref1","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"ECCV"},{"article-title":"Yolov3: An incremental improvement","year":"2018","author":"redmon","key":"ref9"}],"event":{"name":"2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)","start":{"date-parts":[[2020,11,18]]},"location":"Victoria, BC, Canada","end":{"date-parts":[[2020,12,16]]}},"container-title":["2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9348428\/9348429\/09348862.pdf?arnumber=9348862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:17Z","timestamp":1656602237000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9348862\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/vtc2020-fall49728.2020.9348862","relation":{},"subject":[],"published":{"date-parts":[[2020,11]]}}}