{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:22Z","timestamp":1750220902292,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,15]],"date-time":"2019-12-15T00:00:00Z","timestamp":1576368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61976132"],"award-info":[{"award-number":["61976132"]}]},{"name":"National Natural Science Foundation of Shanghai, China","award":["19ZR1419200"],"award-info":[{"award-number":["19ZR1419200"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,12,15]]},"DOI":"10.1145\/3338533.3366555","type":"proceedings-article","created":{"date-parts":[[2020,1,11]],"date-time":"2020-01-11T04:30:32Z","timestamp":1578717032000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Excluding the Misleading Relatedness Between Attributes in Multi-Task Attribute Recognition Network"],"prefix":"10.1145","author":[{"given":"Sirui","family":"Cai","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}]},{"given":"Yuchun","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Yossi Adi Neil Zeghidour Ronan Collobert Nicolas Usunier Vitaliy Liptchinsky and Gabriel Synnaeve. 2018. To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. arXiv preprint arXiv:1812.03483 (2018).  Yossi Adi Neil Zeghidour Ronan Collobert Nicolas Usunier Vitaliy Liptchinsky and Gabriel Synnaeve. 2018. To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. arXiv preprint arXiv:1812.03483 (2018).","DOI":"10.1109\/ICASSP.2019.8682468"},{"volume-title":"Learning to learn","author":"Caruana Rich","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Yubin Deng Ping Luo Chen Change Loy and Xiaoou Tang. 2014. Pedestrian Attribute Recognition At Far Distance. In ACM Multimedia.  Yubin Deng Ping Luo Chen Change Loy and Xiaoou Tang. 2014. Pedestrian Attribute Recognition At Far Distance. In ACM Multimedia.","DOI":"10.1145\/2647868.2654966"},{"key":"e_1_3_2_1_4_1","unstructured":"Liang Du and Haibin Ling. 2014. Exploiting Competition Relationship for Robust Visual Recognition. In AAAI.  Liang Du and Haibin Ling. 2014. Exploiting Competition Relationship for Robust Visual Recognition. In AAAI."},{"key":"e_1_3_2_1_5_1","unstructured":"Rog\u00e9rio Schmidt Feris Russell Bobbitt Lisa M. Brown and Sharath Pankanti. 2014. Attribute-based People Search: Lessons Learnt from a Practical Surveillance System. In ICMR.  Rog\u00e9rio Schmidt Feris Russell Bobbitt Lisa M. Brown and Sharath Pankanti. 2014. Attribute-based People Search: Lessons Learnt from a Practical Surveillance System. In ICMR."},{"key":"e_1_3_2_1_6_1","unstructured":"Yaroslav Ganin and Victor S. Lempitsky. 2015. Unsupervised Domain Adaptation by Backpropagation. In ICML.  Yaroslav Ganin and Victor S. Lempitsky. 2015. Unsupervised Domain Adaptation by Backpropagation. In ICML."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_1_8_1","unstructured":"Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS.  Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2738004"},{"key":"e_1_3_2_1_10_1","unstructured":"Keke He Zhanxiong Wang Yanwei Fu Rui Feng Yu-Gang Jiang and Xiangyang Xue. 2017. Adaptively Weighted Multi-task Deep Network for Person Attribute Classification. In ACM Multimedia.  Keke He Zhanxiong Wang Yanwei Fu Rui Feng Yu-Gang Jiang and Xiangyang Xue. 2017. Adaptively Weighted Multi-task Deep Network for Person Attribute Classification. In ACM Multimedia."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.211"},{"key":"e_1_3_2_1_12_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_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459250"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.48"},{"volume-title":"Deep Learning Face Attributes in the Wild. 2015 IEEE International Conference on Computer Vision (ICCV)","year":"2015","author":"Liu Ziwei","key":"e_1_3_2_1_15_1"},{"volume-title":"Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","year":"2017","author":"Lu Yongxi","key":"e_1_3_2_1_16_1"},{"volume-title":"Speaker-Invariant Training Via Adversarial Learning. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","year":"2018","author":"Meng Zhong","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Yusuke Shinohara. 2016. Adversarial Multitask Learning of Deep Neural Networks for Robust Speech Recognition.  Yusuke Shinohara. 2016. Adversarial Multitask Learning of Deep Neural Networks for Robust Speech Recognition.","DOI":"10.21437\/Interspeech.2016-879"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Chi Su Shiliang Zhang Junliang Xing Wen Gao and Qi Tian. 2016. Deep Attributes Driven Multi-Camera Person Re-identification. In ECCV.  Chi Su Shiliang Zhang Junliang Xing Wen Gao and Qi Tian. 2016. Deep Attributes Driven Multi-Camera Person Re-identification. In ECCV.","DOI":"10.1007\/978-3-319-46475-6_30"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Daniel A. Vaquero Rog\u00e9rio Schmidt Feris Duan Tran Lisa M. Brown Arun Hampapur and Matthew Turk. 2009. Attribute-based people search in surveillance environments. 2009 Workshop on Applications of Computer Vision (WACV) (2009) 1--8.  Daniel A. Vaquero Rog\u00e9rio Schmidt Feris Duan Tran Lisa M. Brown Arun Hampapur and Matthew Turk. 2009. Attribute-based people search in surveillance environments. 2009 Workshop on Applications of Computer Vision (WACV) (2009) 1--8.","DOI":"10.1109\/WACV.2009.5403131"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.252"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Jingang Wang Junfeng Tian Long Xin Qiu Sheng Li Jun Lang Luo Si and Man Lan. 2018. A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. In AAAI.  Jingang Wang Junfeng Tian Long Xin Qiu Sheng Li Jun Lang Luo Si and Man Lan. 2018. A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. In AAAI.","DOI":"10.1609\/aaai.v32i1.11264"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Liqiang Xiao Honglun Zhang and Wenqing Chen. 2018. Gated Multi-Task Network for Text Classification. In NAACL-HLT.  Liqiang Xiao Honglun Zhang and Wenqing Chen. 2018. Gated Multi-Task Network for Text Classification. In NAACL-HLT.","DOI":"10.18653\/v1\/N18-2114"},{"key":"e_1_3_2_1_24_1","unstructured":"Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks?. In NIPS.  Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks?. In NIPS."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2016.7550092"}],"event":{"name":"MMAsia '19: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Beijing China","acronym":"MMAsia '19"},"container-title":["Proceedings of the ACM Multimedia Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3338533.3366555","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3338533.3366555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:46Z","timestamp":1750203886000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3338533.3366555"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,15]]},"references-count":26,"alternative-id":["10.1145\/3338533.3366555","10.1145\/3338533"],"URL":"https:\/\/doi.org\/10.1145\/3338533.3366555","relation":{},"subject":[],"published":{"date-parts":[[2019,12,15]]},"assertion":[{"value":"2020-01-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}