{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T12:40:23Z","timestamp":1730292023097,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T00:00:00Z","timestamp":1601251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T00:00:00Z","timestamp":1601251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T00:00:00Z","timestamp":1601251200000},"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":[[2020,9,28]]},"DOI":"10.1109\/rcar49640.2020.9303293","type":"proceedings-article","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T21:55:00Z","timestamp":1609365300000},"page":"505-510","source":"Crossref","is-referenced-by-count":1,"title":["Aerospace target detection based on complex background"],"prefix":"10.1109","author":[{"given":"Yanning","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaoyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jingjing","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Song","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"21","article-title":"Ssd: Single shot multibox detector[C]","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref11","article-title":"Dssd: Deconvolutional single shot detector[J]","author":"fu","year":"2017","journal-title":"arXiv preprint arXiv 1701 06190"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref14","article-title":"Yolov3: An incremental improvement[J]","author":"redmon","year":"2018","journal-title":"arXiv preprint arXiv 1804 02767"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MMET.2018.8460392"},{"key":"ref16","first-page":"81","article-title":"Real-time airplane detection algorithm inremote-sensing images based on improved YOLOv [J]","volume":"45","author":"dai","year":"2018","journal-title":"Opto-Electronic Engineering"},{"journal-title":"Multi-scale context aggregation by dilated convolutions","year":"2015","author":"yu","key":"ref17"},{"journal-title":"DetNet A Backbone network for Object Detection[J]","year":"2018","author":"li","key":"ref18"},{"key":"ref19","article-title":"Retinal Vessel Image Segmentation Based on Improved Convolutional Neural Network[J]","author":"chenyue","year":"2018","journal-title":"Acta Optica Sinica"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICOSP.2014.7015147"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning[J]","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.479"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_45"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2010.08.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2013.6728559"},{"key":"ref9","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks[C]","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref20","article-title":"Squeeze-and-Excitation Networks[J]","author":"hu","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"journal-title":"CBAM Convolutional Block Attention Module","year":"2018","author":"woo","key":"ref21"},{"journal-title":"Distance-IoU Loss Faster and Better Learning for Bounding Box Regression[J]","year":"2019","author":"zheng","key":"ref23"}],"event":{"name":"2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2020,9,28]]},"location":"Asahikawa, Japan","end":{"date-parts":[[2020,9,29]]}},"container-title":["2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9303031\/9303032\/09303293.pdf?arnumber=9303293","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:58:45Z","timestamp":1656453525000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9303293\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,28]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/rcar49640.2020.9303293","relation":{},"subject":[],"published":{"date-parts":[[2020,9,28]]}}}