{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:39:34Z","timestamp":1730223574322,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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":[[2021,12]]},"DOI":"10.1109\/globecom46510.2021.9685805","type":"proceedings-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T21:59:04Z","timestamp":1643839144000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["CMF Net: Detecting Objects in Infrared Traffic Image with Combination of Multiscale Features"],"prefix":"10.1109","author":[{"given":"Zhifang","family":"Liao","sequence":"first","affiliation":[]},{"given":"Yiqi","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Xuechun","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Jinsong","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref11","article-title":"Fast R-CNN[J]","author":"girshick","year":"2015","journal-title":"Computer Science"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"journal-title":"How transferable are features in deep neural networks?[J]","year":"2014","author":"yosinski","key":"ref13"},{"key":"ref14","article-title":"Fully Convolutional Networks for Semantic Segmentation[J]","author":"long","year":"2014","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref15","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition[J]","author":"simonyan","year":"2014","journal-title":"Computer Science"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2919382"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"journal-title":"Parsenet Looking wider to see better","year":"0","author":"liu","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.98"},{"journal-title":"Neural Networks and Deep Learning","year":"2015","author":"schmidhuber","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref6","article-title":"OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks","author":"sermanet","year":"0","journal-title":"ICLRE"},{"key":"ref5","article-title":"ImageNet Classification with Deep Convolutional Neural Networks[J]","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref8","article-title":"Deep Learning for Generic Object Detection: A Survey[J]","author":"liu","year":"2018","journal-title":"International Journal of Computer Vision"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298621"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-45404-7_7","article-title":"Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context[C]","author":"hinz","year":"2001","journal-title":"Pattern Recognition 23rd DAGM Symposium"},{"key":"ref1","first-page":"1","author":"kim","year":"0","journal-title":"[IEEE OCEANS 2012 - YEOSU - Yeosu Korea (South) (2012 05 21–2012 05 24)] 2012 Oceans - Yeosu - Object detection and tracking for autonomous underwater robots using weighted template matching[J]"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.314"}],"event":{"name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference","start":{"date-parts":[[2021,12,7]]},"location":"Madrid, Spain","end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Global Communications Conference (GLOBECOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9685019\/9685006\/09685805.pdf?arnumber=9685805","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T00:58:58Z","timestamp":1670374738000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9685805\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/globecom46510.2021.9685805","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}