{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:28:55Z","timestamp":1753601335715,"version":"3.37.3"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956214","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"847-854","source":"Crossref","is-referenced-by-count":4,"title":["Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition"],"prefix":"10.1109","author":[{"given":"Hong-Yu","family":"Guo","sequence":"first","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]},{"given":"Chuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]},{"given":"Fei","family":"Yin","sequence":"additional","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]},{"given":"Heng-Ye","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]},{"given":"Jin-Wen","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]},{"given":"Cheng-Lin","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Automation of Chinese Academy of Sciences,National Laboratory of Pattern Recognition,Beijing,China,100190"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR2020.2020.00041"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2016.0116"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546031"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01291-5"},{"key":"ref30","first-page":"18","article-title":"Image-to-markup generation via paired adversarial learning","author":"wu","year":"2018","journal-title":"Machine Learning and Knowledge Discovery in Databases - European Conference ECML PKDD 2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.09.002"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00035"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR2020.2020.00041"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86331-9_39"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00583"},{"key":"ref40","article-title":"Natural language understanding with distributed representation","volume":"abs 1511 7916","author":"cho","year":"2015","journal-title":"CoRR"},{"key":"ref11","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/978-3-319-46466-4_5","article-title":"Unsupervised learning of visual representations by solving jigsaw puzzles","author":"noroozi","year":"2016","journal-title":"European Conference on Computer Vision ECCV 2016"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1007\/978-3-319-46487-9_40","article-title":"Colorful image colorization","author":"zhang","year":"2016","journal-title":"European Conference on Computer Vision ECCV 2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.96"},{"key":"ref16","article-title":"Big self-supervised models are strong semi-supervised learners","author":"chen","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 NeurIPS 2020"},{"key":"ref17","article-title":"Coke: Localized contrastive learning for robust keypoint detection","volume":"abs 2009 14115","author":"bai","year":"2020","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00084"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00304"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16399"},{"key":"ref4","first-page":"1597","article-title":"A simple frame-work for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning ICML 2020"},{"key":"ref27","first-page":"980","article-title":"Image-to-markup generation with coarse-to-fine attention","author":"deng","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning ICML 2017"},{"key":"ref3","article-title":"Improved baselines with momentum contrastive learning","author":"chen","year":"2020","journal-title":"CoRR"},{"key":"ref6","article-title":"Demystifying contrastive self-supervised learning: Invariances, augmentations and dataset biases","author":"purushwalkam","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 NeurIPS 2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86331-9_37"},{"key":"ref5","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"grill","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 NeurIPS 2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.49"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2402536.2402585"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0840-y"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00828"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01505"},{"key":"ref21","article-title":"Self-emd: Self-supervised object detection without imagenet","volume":"abs 2011 13677","author":"liu","year":"2020","journal-title":"CoRR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR2020.2020.00042"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.patrec.2012.09.023","article-title":"Recognition of on-line handwritten mathematical expressions using 2d stochastic context-free grammars and hidden markov models","volume":"35","author":"alvaro","year":"2014","journal-title":"Pattern Recognit Lett"},{"key":"ref41","first-page":"11 076","article-title":"A tree-structured decoder for image-to-markup generation","author":"zhang","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning ICML 2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-011-0174-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-012-0184-x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.09.013"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956214.pdf?arnumber=9956214","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T20:05:12Z","timestamp":1675109112000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956214\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956214","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}