{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:45Z","timestamp":1750220625104,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T00:00:00Z","timestamp":1575244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Zhejiang Science and Technology Project","award":["NO. LGG18F010004"],"award-info":[{"award-number":["NO. LGG18F010004"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,12,2]]},"DOI":"10.1145\/3365109.3368783","type":"proceedings-article","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T13:23:09Z","timestamp":1574860989000},"page":"137-143","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Class-Level Adaptation Network with Self Training for Unsupervised Domain Adaptation"],"prefix":"10.1145","author":[{"given":"Yuncheng","family":"Jin","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Zhihong","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Zhaowei","family":"Cheng","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Xinyu","family":"Jin","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Bin","family":"Sun","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2019,12,2]]},"reference":[{"volume-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","year":"2017","author":"Badrinarayanan Vijay","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","unstructured":"Zhihong Chen Chao Chen Zhaowei Cheng Ke Fang and Xinyu Jin. 2019. Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation. arXiv preprint arXiv:1905.10756 (2019).  Zhihong Chen Chao Chen Zhaowei Cheng Ke Fang and Xinyu Jin. 2019. Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation. arXiv preprint arXiv:1905.10756 (2019)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhihong Chen Chao Chen Xinyu Jin Yifu Liu and Zhaowei Cheng. 2019. Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation. Neural Computing and Applications (2019).  Zhihong Chen Chao Chen Xinyu Jin Yifu Liu and Zhaowei Cheng. 2019. Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation. Neural Computing and Applications (2019).","DOI":"10.1007\/s00521-019-04262-1"},{"volume-title":"International conference on machine learning. 647--655","year":"2014","author":"Donahue Jeff","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"volume-title":"Cycada: Cycle-consistent adversarial domain adaptation. arXiv preprint arXiv:1711.03213","year":"2017","author":"Hoffman Judy","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"key":"e_1_3_2_1_10_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_12_1","volume-title":"Workshop on Challenges in Representation Learning, ICML","volume":"3","author":"Lee Dong-Hyun","year":"2013"},{"key":"e_1_3_2_1_13_1","unstructured":"Mingsheng Long Yue Cao Jianmin Wang and Michael I Jordan. 2015. Learning transferable features with deep adaptation networks. arXiv preprint arXiv:1502.02791 (2015).  Mingsheng Long Yue Cao Jianmin Wang and Michael I Jordan. 2015. Learning transferable features with deep adaptation networks. arXiv preprint arXiv:1502.02791 (2015)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"e_1_3_2_1_15_1","unstructured":"Yuval Netzer Tao Wang Adam Coates Alessandro Bissacco Bo Wu and Andrew Y Ng. 2011. Reading digits in natural images with unsupervised feature learning. (2011).  Yuval Netzer Tao Wang Adam Coates Alessandro Bissacco Bo Wu and Andrew Y Ng. 2011. Reading digits in natural images with unsupervised feature learning. (2011)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Joaquin Quionero-Candela Masashi Sugiyama Anton Schwaighofer and Neil D Lawrence. 2009. Dataset shift in machine learning. The MIT Press.  Joaquin Quionero-Candela Masashi Sugiyama Anton Schwaighofer and Neil D Lawrence. 2009. Dataset shift in machine learning. The MIT Press.","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390256"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Isaac Triguero Salvador Garc\u00eda and Francisco Herrera. 2015. Self-labeled techniques for semi-supervised learning: taxonomy software and empirical study. Knowledge and Information systems 42 2 (2015) 245--284.  Isaac Triguero Salvador Garc\u00eda and Francisco Herrera. 2015. Self-labeled techniques for semi-supervised learning: taxonomy software and empirical study. Knowledge and Information systems 42 2 (2015) 245--284.","DOI":"10.1007\/s10115-013-0706-y"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"e_1_3_2_1_22_1","unstructured":"Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko and Trevor Darrell. 2014. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 (2014).  Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko and Trevor Darrell. 2014. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 (2014)."},{"volume-title":"33rd annual meeting of the association for computational linguistics. 189--196.","author":"Yarowsky David","key":"e_1_3_2_1_23_1"},{"key":"e_1_3_2_1_24_1","unstructured":"Werner Zellinger Thomas Grubinger Edwin Lughofer Thomas Natschl\u00e4ger and Susanne Saminger-Platz. 2017. Central moment discrepancy (cmd) for domaininvariant representation learning. arXiv preprint arXiv:1702.08811 (2017).  Werner Zellinger Thomas Grubinger Edwin Lughofer Thomas Natschl\u00e4ger and Susanne Saminger-Platz. 2017. Central moment discrepancy (cmd) for domaininvariant representation learning. arXiv preprint arXiv:1702.08811 (2017)."},{"key":"e_1_3_2_1_25_1","unstructured":"Haijun Zhang Yuzhu Ji Wang Huang and Linlin Liu. 2018. Sitcom-star-based clothing retrieval for video advertising: a deep learning framework. Neural computing and applications (2018) 1--20.  Haijun Zhang Yuzhu Ji Wang Huang and Linlin Liu. 2018. Sitcom-star-based clothing retrieval for video advertising: a deep learning framework. Neural computing and applications (2018) 1--20."}],"event":{"name":"UCC '19: IEEE\/ACM 12th International Conference on Utility and Cloud Computing","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE TCSC IEEE Technical Committee on Scalable Computing"],"location":"Auckland New Zealand","acronym":"UCC '19"},"container-title":["Proceedings of the 6th IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3365109.3368783","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3365109.3368783","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:29Z","timestamp":1750197689000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3365109.3368783"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,2]]},"references-count":25,"alternative-id":["10.1145\/3365109.3368783","10.1145\/3365109"],"URL":"https:\/\/doi.org\/10.1145\/3365109.3368783","relation":{},"subject":[],"published":{"date-parts":[[2019,12,2]]},"assertion":[{"value":"2019-12-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}