{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:19:55Z","timestamp":1740133195385,"version":"3.37.3"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61525206","61572472"],"award-info":[{"award-number":["61525206","61572472"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2017YFB1002202"],"award-info":[{"award-number":["2017YFB1002202"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["4152050"],"award-info":[{"award-number":["4152050"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Program of CAS","award":["KFZD-SW-407"],"award-info":[{"award-number":["KFZD-SW-407"]}]},{"name":"STS Initiative of CAS","award":["KFJ-STS-ZDTP-018"],"award-info":[{"award-number":["KFJ-STS-ZDTP-018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/tip.2017.2779270","type":"journal-article","created":{"date-parts":[[2017,12,4]],"date-time":"2017-12-04T22:23:42Z","timestamp":1512426222000},"page":"1561-1574","source":"Crossref","is-referenced-by-count":11,"title":["Implicit Negative Sub-Categorization and Sink Diversion for Object Detection"],"prefix":"10.1109","volume":"27","author":[{"given":"Yu","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3573-2407","authenticated-orcid":false,"given":"Sheng","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1151-1792","authenticated-orcid":false,"given":"Yongdong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jintao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuicheng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","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":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.276"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2729786"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2168198"},{"journal-title":"A simple way to initialize recurrent networks of rectified linear units","year":"2015","author":"le","key":"ref36"},{"key":"ref35","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33712-3_25"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.260"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.305"},{"key":"ref2","first-page":"391","article-title":"Edge boxes: Locating object proposals from edges","author":"zitnick","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"journal-title":"Gated Bidirectional CNN for Object Detection","year":"2016","author":"zeng","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2601099"},{"key":"ref24","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref25","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298854"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299146"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref40","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.135"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.314"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.15"},{"key":"ref4","first-page":"3286","article-title":"BING: Binarized normed gradients for objectness estimation at 300fps","author":"cheng","year":"2014","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.98"},{"key":"ref5","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":"ref8","first-page":"346","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","author":"he","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref49","article-title":"MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems","author":"chen","year":"2015","journal-title":"Proc Neural Inf Process Syst Workshop Mach Learn Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref46","first-page":"125","article-title":"Semantic object parsing with graph LSTM","author":"liang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.396"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.224"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/479"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","first-page":"1","article-title":"Going deeper with convolutions","author":"szegedy","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8246756\/08125749.pdf?arnumber=8125749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:24:06Z","timestamp":1642004646000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8125749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":52,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2779270","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2018,4]]}}}