{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:51:28Z","timestamp":1771458688511,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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","award":["61375038"],"award-info":[{"award-number":["61375038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Applied Basic Research Programs of Sichuan Science and Technology Department","award":["2016JY0088"],"award-info":[{"award-number":["2016JY0088"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/tcsvt.2017.2749620","type":"journal-article","created":{"date-parts":[[2017,9,7]],"date-time":"2017-09-07T19:41:30Z","timestamp":1504813290000},"page":"2538-2551","source":"Crossref","is-referenced-by-count":35,"title":["Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8246-3663","authenticated-orcid":false,"given":"Xudong","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-8702","authenticated-orcid":false,"given":"Mao","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Yiguang","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7607-707X","authenticated-orcid":false,"given":"Ce","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_31"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref32","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-014-0119-z"},{"key":"ref36","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref35","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc IEEE Int Conf Mach Learn"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989027"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.01.030"},{"key":"ref29","author":"szegedy","year":"2014","journal-title":"Scalable high-quality object detection"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298854"},{"key":"ref22","author":"sermanet","year":"2013","journal-title":"Overfeat Integrated Recognition Localization and Detection Using Convolutional Networks"},{"key":"ref21","first-page":"2553","article-title":"Deep neural networks for object detection","author":"szegedy","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298641"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.276"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298668"},{"key":"ref25","first-page":"851","article-title":"End-to-end integration of a convolution network, deformable parts model and non-maximum suppression","author":"wan","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2103951"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019420"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248064"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.22"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref13","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.97"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.465"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.257"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298621"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238422"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2614548"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2255271"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2240678"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2008.4711716"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2301453"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126456"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995698"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291276"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315181"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.479"},{"key":"ref44","year":"2007","journal-title":"PETS"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383072"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/8824151\/08027120.pdf?arnumber=8027120","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:06:56Z","timestamp":1657746416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8027120\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":50,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2017.2749620","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9]]}}}