{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:36:28Z","timestamp":1753601788470,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096654","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Lightweight Portrait Segmentation Via Edge-Optimized Attention"],"prefix":"10.1109","author":[{"given":"Xinyue","family":"Zhang","sequence":"first","affiliation":[{"name":"Qingdao University,College of Computer Science and Technology,Qingdao,P.R. China,266071"}]},{"given":"Guodong","family":"Wang","sequence":"additional","affiliation":[{"name":"Qingdao University,College of Computer Science and Technology,Qingdao,P.R. China,266071"}]},{"given":"Lijuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Hisense Visual Technology Co., Ltd,Qingdao,P.R. China,266555"}]},{"given":"Chenglizhao","family":"Chen","sequence":"additional","affiliation":[{"name":"Qingdao University,College of Computer Science and Technology,Qingdao,P.R. China,266071"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Bisenet: Bilateral segmentation network for real-time semantic segmentation","author":"yu","year":"2018","journal-title":"ECCV"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00941"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2019.03.007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_34"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.273"},{"key":"ref10","first-page":"4413","article-title":"The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks","author":"berman","year":"2018","journal-title":"CVPR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/e23020197"},{"article-title":"Portrait segmentation using deep learning","year":"2022","author":"datar","key":"ref1"},{"key":"ref17","article-title":"Contextnet: Exploring context and detail for semantic segmentation in real-time","author":"poudel","year":"2018","journal-title":"BMVC"},{"article-title":"Enet: A deep neural network architecture for real-time semantic segmentation","year":"2016","author":"paszke","key":"ref16"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01541-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11152388"},{"year":"2018","key":"ref24","article-title":"supervise.ly. supervisely person dataset. supervise.ly"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19999"},{"key":"ref26","first-page":"92","article-title":"Deep automatic portrait matting","author":"shen","year":"2016","journal-title":"ECCV"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.41"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475512"},{"article-title":"Rethinking portrait matting with privacy preserving","year":"2022","author":"ma","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00121"},{"article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","year":"2015","author":"ioffe","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342188"},{"article-title":"Nonparametric regression using deep neural networks with relu activation function","year":"2020","author":"schmidt-hieber","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW54805.2022.00026"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093588"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12814"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1049\/ipr2.12419","article-title":"Medical image segmentation using deep learning: A survey","volume":"16","author":"lei","year":"2022","journal-title":"IET Image Process"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096654.pdf?arnumber=10096654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:10:59Z","timestamp":1700507459000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096654","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}