{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:06:10Z","timestamp":1730246770238,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506417","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"2209-2213","source":"Crossref","is-referenced-by-count":0,"title":["Layer-Wise Customized Weak Segmentation Block And Aiou Loss For Accurate Object Detection"],"prefix":"10.1109","author":[{"given":"Keyang","family":"Wang","sequence":"first","affiliation":[{"name":"Chongqing University,School of Microelectronics and Communication Engineering,Chongqing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing University,School of Microelectronics and Communication Engineering,Chongqing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenli","family":"Song","sequence":"additional","affiliation":[{"name":"Chongqing University,School of Microelectronics and Communication Engineering,Chongqing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghai","family":"Lang","sequence":"additional","affiliation":[{"name":"Chongqing University,School of Microelectronics and Communication Engineering,Chongqing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingyun","family":"Qin","sequence":"additional","affiliation":[{"name":"Chongqing University,School of Microelectronics and Communication Engineering,Chongqing"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref11","article-title":"Dssd: Deconvolutional single shot detector","author":"fu","year":"2017","journal-title":"arXiv preprint arXiv 1701 06190"},{"key":"ref12","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00442"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"9259","DOI":"10.1609\/aaai.v33i01.33019259","article-title":"M2det: A single-shot object detector based on multi-level feature pyramid network","volume":"33","author":"zhao","year":"2019","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413691"},{"key":"ref17","article-title":"Iou-balanced loss functions for single-stage object detection","author":"wu","year":"2019","journal-title":"arXiv Preprint arXiv 1908 08098"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967274"},{"key":"ref4","first-page":"379","article-title":"R-fcn: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01160"},{"key":"ref2","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":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref1","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"journal-title":"The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Development Kit","year":"2007","author":"everingham","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00671"},{"key":"ref21","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506417.pdf?arnumber=9506417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T23:58:05Z","timestamp":1670371085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506417","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}