{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:21:34Z","timestamp":1776889294849,"version":"3.51.2"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":["61772158"],"award-info":[{"award-number":["61772158"]}],"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":["61702136"],"award-info":[{"award-number":["61702136"]}],"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":["U1711265"],"award-info":[{"award-number":["U1711265"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.2971105","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T19:28:24Z","timestamp":1584386904000},"page":"5336-5351","source":"Crossref","is-referenced-by-count":65,"title":["Deep Saliency Hashing for Fine-Grained Retrieval"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7254-1664","authenticated-orcid":false,"given":"Sheng","family":"Jin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3298-2574","authenticated-orcid":false,"given":"Hongxun","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3912-9306","authenticated-orcid":false,"given":"Xiaoshuai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8201-8877","authenticated-orcid":false,"given":"Shangchen","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2078-4215","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiansheng","family":"Hua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"834","article-title":"Part-based R-CNNs for fine-grained category detection","author":"zhang","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.129"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.391"},{"key":"ref32","first-page":"73","article-title":"Unsupervised discovery of mid-level discriminative patches","author":"singh","year":"2012","journal-title":"Computer"},{"key":"ref31","article-title":"The Caltech-UCSD birds-200&#x2013;2011 Dataset","author":"wah","year":"2011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2695101"},{"key":"ref37","first-page":"842","article-title":"The application of two-level attention models in deep convolutional neural network for fine-grained image classification","author":"xiao","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref36","article-title":"Fully convolutional attention localization networks: Efficient attention localization for fine-grained recognition","author":"liu","year":"2016","journal-title":"arXiv 1603 06765"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2688133"},{"key":"ref34","article-title":"Pose invariant embedding for deep person re-identification","author":"zheng","year":"2017","journal-title":"arXiv 1701 07732"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.104"},{"key":"ref27","first-page":"3457","article-title":"Deep quantization network for efficient image retrieval","author":"cao","year":"2016","journal-title":"Proc AAAI"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00134"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2006.49"},{"key":"ref20","first-page":"1753","article-title":"Spectral hashing","author":"weiss","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.253"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609600"},{"key":"ref24","article-title":"Feature learning based deep supervised hashing with pairwise labels","author":"li","year":"2015","journal-title":"arXiv 1511 03855"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301269"},{"key":"ref25","first-page":"332","article-title":"Hashing with binary matrix pursuit","author":"cakir","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref50","first-page":"1","article-title":"Novel dataset for fine-grained image categorization: Stanford dogs","volume":"2","author":"khosla","year":"2011","journal-title":"Proc CVPR Workshop on Fine-Grained Visual Categorization (FGVC)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.42"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2771332"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952453"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"ref52","first-page":"2415","article-title":"Deep hashing network for efficient similarity retrieval","author":"zhu","year":"2016","journal-title":"Proc AAAI"},{"key":"ref10","article-title":"Supervised hashing for image retrieval via image representation learning","volume":"1","author":"xia","year":"2014","journal-title":"Proc AAAI"},{"key":"ref11","first-page":"755","article-title":"Deep triplet quantization","author":"liu","year":"2018","journal-title":"Proc ACM MM"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123280"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref13","first-page":"1556","article-title":"Deep semantic ranking based hashing for multi-label image retrieval","author":"zhao","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref14","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.131"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.193"},{"key":"ref4","first-page":"1042","article-title":"Learning to hash with binary reconstructive embeddings","author":"kulis","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.516"},{"key":"ref6","first-page":"2074","article-title":"Supervised hashing with kernels","author":"liu","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref5","first-page":"142","article-title":"Learning hash functions using column generation","author":"li","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","first-page":"1061","article-title":"Hamming distance metric learning","author":"norouzi","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","author":"norouzi","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref49","first-page":"1","article-title":"Hashing with graphs","author":"liu","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"ref46","first-page":"805","article-title":"Multi-attention multi-class constraint for fine-grained image recognition","author":"sun","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.557"},{"key":"ref48","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":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref42","first-page":"545","article-title":"Graph-based visual saliency","author":"harel","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.441"},{"key":"ref44","article-title":"Diversified visual attention networks for fine-grained object classification","author":"zhao","year":"2016","journal-title":"arXiv 1606 08572"},{"key":"ref43","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"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09037360.pdf?arnumber=9037360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:39:02Z","timestamp":1651070342000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9037360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.2971105","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}