{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:41:54Z","timestamp":1740102114951,"version":"3.37.3"},"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"}],"funder":[{"DOI":"10.13039\/501100008122","name":"Institute of Information & communications Technology Planning & Evaluation (IITP)","doi-asserted-by":"publisher","award":["2019-0-00079"],"award-info":[{"award-number":["2019-0-00079"]}],"id":[{"id":"10.13039\/501100008122","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191689","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"01-08","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Yu\u2013Won","family":"Lee","sequence":"first","affiliation":[{"name":"Korea University,Dept. of Artificial Intelligence,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myeong\u2013Seok","family":"Oh","sequence":"additional","affiliation":[{"name":"Korea University,Dept. of Computer and Radio Communications Engineering,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ho\u2013Joong","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea University,Dept. of Artificial Intelligence,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seong\u2013Whan","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea University,Dept. of Artificial Intelligence,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892775"},{"key":"ref35","first-page":"834","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","volume":"40","author":"chieh","year":"2017","journal-title":"IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00142"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref37","first-page":"289","article-title":"Unsupervised domain adaptation for semantic segmentation via class-balanced self-training","author":"zou","year":"0","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_22"},{"key":"ref36","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref30","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00969"},{"key":"ref33","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","author":"xie","year":"2021","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref10","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"key":"ref2","first-page":"83","article-title":"Facial component extraction and face recognition with support vector machines","author":"xi","year":"0","journal-title":"International Conference on Automatic Face and Gesture Recognition (FG)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(00)00007-8"},{"key":"ref17","first-page":"102","article-title":"Playing for data: Ground truth from computer games","author":"richter","year":"0","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01223"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00694"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00840"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00695"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00939"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_40"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01139"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01130"},{"key":"ref41","article-title":"Visualizing data using t-sne","volume":"9","author":"maaten","year":"2008","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"ref22","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"ranford","year":"0","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00127"},{"key":"ref28","article-title":"Language-driven semantic segmentation","author":"li","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01755"},{"key":"ref29","first-page":"1195","article-title":"Mean teachers are better role models: Weight averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref7","first-page":"571","article-title":"Domain adaptive semantic segmentation using weak labels","author":"paul","year":"0","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533404"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2703841"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.06.014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.609"},{"key":"ref5","first-page":"4409","article-title":"Text Extraction in MPEG Compressed Video for Content-based Indexing","author":"lim","year":"0","journal-title":"International Conference on Pattern Recognition (ICPR)"},{"key":"ref40","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"North American Conference on Chinese Linguistics (NACCLS)"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","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\/10191689.pdf?arnumber=10191689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:42:57Z","timestamp":1692639777000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191689\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191689","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}