{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:48:47Z","timestamp":1769741327115,"version":"3.49.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191445","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-9","source":"Crossref","is-referenced-by-count":5,"title":["BIT: Improving Image-text Sentiment Analysis via Learning Bidirectional Image-text Interaction"],"prefix":"10.1109","author":[{"given":"Xingwang","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University,Kunming,China,650504"}]},{"given":"Yuanyuan","family":"Pu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University,Kunming,China,650504"}]},{"given":"Zhengpeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University,Kunming,China,650504"}]},{"given":"Jinjing","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University,Kunming,China,650504"}]},{"given":"Dan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University,Kunming,China,650504"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2848656"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0981-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2007.06.003"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85099-1_8"},{"key":"ref37","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2021","journal-title":"Int Conf Learning Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3160060"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.85.2.59"},{"key":"ref30","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Adv in Neural Info Proc Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2878715"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00636"},{"key":"ref10","article-title":"A region group adaptive attention model for subtle expression recognition","author":"chen","year":"2021","journal-title":"IEEE Trans Affect Comput"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01059"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3003648"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1236-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.08.003"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00378"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3147546"},{"key":"ref38","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"radford","year":"2021","journal-title":"Int Conf Machine Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.233"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EnT50460.2021.9681776"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.28"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133142"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380000"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02936-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00988"},{"key":"ref41","article-title":"Supervised multimodal bitransformers for classifying images and text","author":"kiela","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210093"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3182426"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref29","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM50055.2020.00076"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219853"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WIIAT50758.2020.00039"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3182549"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412081"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2017.8004895"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482158"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27674-8_2"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","location":"Gold Coast, Australia","start":{"date-parts":[[2023,6,18]]},"end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191445.pdf?arnumber=10191445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:43:29Z","timestamp":1692639809000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191445\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191445","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}