{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:21:42Z","timestamp":1791303702531,"version":"4.1.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Plan","award":["2016YFC0801002"],"award-info":[{"award-number":["2016YFC0801002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876179"],"award-info":[{"award-number":["61876179"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872367"],"award-info":[{"award-number":["61872367"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806203"],"award-info":[{"award-number":["61806203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Development Fund of Macau","award":["152\/2017\/A"],"award-info":[{"award-number":["152\/2017\/A"]}]},{"name":"Science and Technology Development Fund of Macau","award":["0025\/2018\/A1"],"award-info":[{"award-number":["0025\/2018\/A1"]}]},{"name":"Science and Technology Development Fund of Macau","award":["008\/2019\/A1"],"award-info":[{"award-number":["008\/2019\/A1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/tip.2019.2919199","type":"journal-article","created":{"date-parts":[[2019,7,7]],"date-time":"2019-07-07T19:20:04Z","timestamp":1562527204000},"page":"6126-6140","source":"Crossref","is-referenced-by-count":84,"title":["Attention-Based Pedestrian Attribute Analysis"],"prefix":"10.1109","volume":"28","author":[{"given":"Zichang","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Wan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanyuan","family":"Hang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guodong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stan Z.","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995609"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.51"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654966"},{"key":"ref31","first-page":"12","article-title":"Inception-v4, inception-ResNet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"2017","journal-title":"Proc AAAI"},{"key":"ref30","first-page":"3632","article-title":"Pose-guided human parsing by an and\/or graph using pose-context features","author":"xia","year":"2016","journal-title":"Proc AAAI"},{"key":"ref37","article-title":"Weakly-supervised learning of mid-level features for pedestrian attribute recognition and localization","volume":"abs 1611 5603","author":"yu","year":"2016","journal-title":"CoRR"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486476"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_31"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_42"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486604"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240588"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.717"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123424"},{"key":"ref65","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc ECCV"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.329"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2015.7139070"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.51"},{"key":"ref20","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","volume":"2015","author":"xu","year":"2015","journal-title":"Comput Sci"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00046"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00562"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.219"},{"key":"ref50","first-page":"41","article-title":"Multi-task feature learning","author":"argyriou","year":"2007","journal-title":"Proc NIPS"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref58","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408360"},{"key":"ref55","article-title":"Looking at outfit to parse clothing","author":"tangseng","year":"2017","journal-title":"arXiv 1703 01386"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878349"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00960"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995329"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.24"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459303"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28598-1"},{"key":"ref13","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref14","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/135062800394667"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.52.1.337"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00312"},{"key":"ref4","article-title":"Deep view-sensitive pedestrian attribute inference in an end-to-end model","author":"sarfraz","year":"2017","journal-title":"Proc BMVC"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.65"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.46"},{"key":"ref5","article-title":"Improving person re-identification by attribute and identity learning","author":"lin","year":"2017","journal-title":"arXiv 1703 07220"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018634"},{"key":"ref49","first-page":"94","article-title":"Facial landmark detection by deep multi-task learning","author":"zhang","year":"2014","journal-title":"Proc ECCV"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019275"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578732"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.715"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2872503"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00224"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref41","first-page":"100","article-title":"A generative model for parts-based object segmentation","author":"eslami","year":"2012","journal-title":"Proc NIPS"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref43","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","author":"chen","year":"2016","journal-title":"arXiv 1606 00915"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8821493\/08755326.pdf?arnumber=8755326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:48:55Z","timestamp":1657745335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8755326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":65,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2919199","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}