{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T05:22:40Z","timestamp":1769836960849,"version":"3.49.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,26]]},"DOI":"10.1109\/mmsp55362.2022.9949549","type":"proceedings-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T16:39:16Z","timestamp":1669135156000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Contrastive Self-Supervised Learning as a Strong Baseline for Unsupervised Hashing"],"prefix":"10.1109","author":[{"given":"Huei-Fang","family":"Yang","sequence":"first","affiliation":[{"name":"National Sun Yat-sen University,Department of Information Management,Kaohsiung,Taiwan"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume":"119","author":"chen","year":"0","journal-title":"ICML"},{"key":"ref11","first-page":"9726","article-title":"Momentum contrast for unsupervised visual representation learning","author":"he","year":"2020","journal-title":"CVPR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref14","first-page":"806","article-title":"Greedy Hash: Towards fast optimization for accurate hash coding in CNN","author":"su","year":"2018","journal-title":"NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/133"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.133"},{"key":"ref17","first-page":"913","article-title":"Stochastic generative hashing","volume":"70","author":"dai","year":"2017","journal-title":"ICML"},{"key":"ref18","first-page":"2946","article-title":"DistillHash: Unsuper-vised deep hashing by distilling data pairs","author":"yang","year":"2019","journal-title":"CVPR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00315"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2666812"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01166-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00289"},{"key":"ref8","first-page":"3612","article-title":"BinGAN: Learning compact binary descriptors with a regularized GAN","author":"zieba","year":"2018","journal-title":"NeurIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11276"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00088"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.598"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00386"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsoft COCO: common objects in context","volume":"8693","author":"lin","year":"2014","journal-title":"ECCV Lecture Notes in Computer Science"},{"key":"ref22","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","volume":"abs 1308 3432","author":"bengio","year":"2013","journal-title":"CoRR"},{"key":"ref21","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"}],"event":{"name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","location":"Shanghai, China","start":{"date-parts":[[2022,9,26]]},"end":{"date-parts":[[2022,9,28]]}},"container-title":["2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9948698\/9948704\/09949549.pdf?arnumber=9949549","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T14:54:42Z","timestamp":1670856882000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9949549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,26]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/mmsp55362.2022.9949549","relation":{},"subject":[],"published":{"date-parts":[[2022,9,26]]}}}