{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:42:42Z","timestamp":1772642562351,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong RGC RIF","award":["R5001-18"],"award-info":[{"award-number":["R5001-18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,3,1]]},"DOI":"10.1109\/tpami.2020.3024207","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T21:15:06Z","timestamp":1600204506000},"page":"1304-1319","source":"Crossref","is-referenced-by-count":38,"title":["Grid Anchor Based Image Cropping: A New Benchmark and An Efficient Model"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6862-6964","authenticated-orcid":false,"given":"Hui","family":"Zeng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9386-194X","authenticated-orcid":false,"given":"Lida","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7037-8039","authenticated-orcid":false,"given":"Zisheng","family":"Cao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2078-4215","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","article-title":"Cropping (image) \u2014 Wikipedia, the free encyclopedia","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-003-0105-4"},{"key":"ref3","article-title":"System for automatic image cropping based on image saliency","author":"Chor","year":"2006"},{"key":"ref4","article-title":"Image cropping and synthesizing method, and imaging apparatus","author":"Jogo","year":"2007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.130"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654979"},{"key":"ref7","article-title":"Automated image cropping to include particular subjects","author":"Downing","year":"2015"},{"key":"ref8","article-title":"Multifunctional environment for image cropping","author":"Bhatt","year":"2015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.61"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.32"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.240"},{"key":"ref12","article-title":"Image cropping according to points of interest","author":"Chedeau","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00855"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2007.4429261"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/964696.964707"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459467"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1124772.1124886"},{"key":"ref18","first-page":"1","article-title":"Attention based auto image cropping","volume-title":"Proc. ICVS Workshop Comput. Attention Appl.","author":"Stentiford"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47977-5_27"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2696576"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123274"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240531"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2794262"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00570"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2840724"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00610"},{"key":"ref29","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2005.1521454"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1631272.1631384"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873992"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01616.x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2223226"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2286817"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247954"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126498"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref41","article-title":"Pearson correlation coefficient \u2014 Wikipedia, the free encyclopedia","year":"2019"},{"key":"ref42","article-title":"Spearmans rank correlation coefficient \u2014 Wikipedia, the free encyclopedia","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_40"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631888"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref46","article-title":"Evaluation measures (information retrieval) \u2014 Wikipedia, the free encyclopedia","year":"2019"},{"key":"ref47","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref50","article-title":"Rule of thirds \u2014 Wikipedia, the free encyclopedia","year":"2018"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703732"},{"key":"ref52","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref53","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9703108\/09197621.pdf?arnumber=9197621","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:10:30Z","timestamp":1704841830000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9197621\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":53,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.3024207","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,1]]}}}