{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T16:17:21Z","timestamp":1730305041512,"version":"3.28.0"},"reference-count":57,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T00:00:00Z","timestamp":1698883200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T00:00:00Z","timestamp":1698883200000},"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":[[2023,11,2]]},"DOI":"10.1109\/wcsp58612.2023.10405240","type":"proceedings-article","created":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T13:25:28Z","timestamp":1706880328000},"page":"49-55","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Contrastive Learning for Unpaired and Depth-privileged Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Xiaobo","family":"Yang","sequence":"first","affiliation":[{"name":"Zhejiang University,Hangzhou,China"}]},{"given":"Danning","family":"Ke","sequence":"additional","affiliation":[{"name":"Zhejiang University,Hangzhou,China"}]},{"given":"Xiaojin","family":"Gong","sequence":"additional","affiliation":[{"name":"Zhejiang University,Hangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/677"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.533"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803025"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_33"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428155"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561675"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_31"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00298"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00077"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00423"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00457"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2009.06.042"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3035231"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"article-title":"A simple framework for contrastive learning of visual representations","year":"2020","author":"Chen","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"article-title":"Supervised contrastive learning","volume-title":"NIPS","author":"Khosla","key":"ref18"},{"article-title":"Supervised contrastive learning for pre-trained language model fine-tuning","volume-title":"ICLR","author":"Gunel","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00721"},{"article-title":"Universal weakly supervised segmentation by pixel-to-segment contrastive learning","volume-title":"ICLR","author":"Ke","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00743"},{"article-title":"Bootstrapping semantic segmentation with regional contrast","volume-title":"ICLR","author":"Liu","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"article-title":"Rethinking atrous convolution for semantic image segmentation","year":"2017","author":"Chen","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_33"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3049332"},{"key":"ref30","first-page":"2023","article-title":"Learning using privileged information: Similarity control and knowledge transfer","volume":"16","author":"Vapnik","year":"2015","journal-title":"Journal of Machine Learning Research"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00348"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/212"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341029"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.184"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00348"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.96"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_7"},{"article-title":"Spigan: Privileged adversial learning from simulation","volume-title":"ICLR","author":"Lee","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2926728"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_15"},{"article-title":"Noise-contrastive estimation: A new estimation principle for unnormalized statistical models","volume-title":"AISTATS","author":"Gutmann","key":"ref42"},{"article-title":"Improved deep metric learning with multi-class n-pair loss objective","volume-title":"NIPS","author":"Sohn","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062011"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00089"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00811"},{"article-title":"P4contrast: Contrastive learning with pairs of point-pixel pairs for rgb-d scene understanding","year":"2020","author":"Liu","key":"ref48"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00079"},{"article-title":"Representation learning with contrastive predictive coding","year":"2018","author":"van den Oord","key":"ref50"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_23"},{"article-title":"Averaging weights leads to wider optima and better generalization","year":"2018","author":"Izmailov","key":"ref56"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00405"}],"event":{"name":"2023 International Conference on Wireless Communications and Signal Processing (WCSP)","start":{"date-parts":[[2023,11,2]]},"location":"Hangzhou, China","end":{"date-parts":[[2023,11,4]]}},"container-title":["2023 International Conference on Wireless Communications and Signal Processing (WCSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10404087\/10404080\/10405240.pdf?arnumber=10405240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T15:46:48Z","timestamp":1707234408000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10405240\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,2]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/wcsp58612.2023.10405240","relation":{},"subject":[],"published":{"date-parts":[[2023,11,2]]}}}