{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:16Z","timestamp":1750220656211,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412142","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:32:45Z","timestamp":1603089165000},"page":"2161-2164","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision"],"prefix":"10.1145","author":[{"given":"Naoki","family":"Muramoto","sequence":"first","affiliation":[{"name":"University of Tsukuba, Tsukuba, Japan"}]},{"given":"Hai-Tao","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Tsukuba, Tsukuba, Japan"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"539","article-title":"Learning a similarity metric discriminatively, with application to face verification","volume":"1","author":"Chopra Sumit","year":"2005","unstructured":"Sumit Chopra , Raia Hadsell , and Yann Lecun . 2005 . Learning a similarity metric discriminatively, with application to face verification . Proc. Computer Vision and Pattern Recognition , Vol. 1 , 539 -- 546 . Sumit Chopra, Raia Hadsell, and Yann Lecun. 2005. Learning a similarity metric discriminatively, with application to face verification. Proc. Computer Vision and Pattern Recognition, Vol. 1, 539--546.","journal-title":"Proc. Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_2_2_1","volume-title":"Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016 ). https:\/\/doi.org\/10.1109\/cvpr.2016.90 10.1109\/cvpr.2016.90 Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016). https:\/\/doi.org\/10.1109\/cvpr.2016.90"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym11091066"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00239"},{"key":"e_1_3_2_2_5_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization. CoRR , Vol. abs\/ 1412 .6980 (2014). Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR, Vol. abs\/1412.6980 (2014)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2617089"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00805"},{"volume-title":"Introduction to Information Retrieval","author":"Manning Christopher D.","key":"e_1_3_2_2_9_1","unstructured":"Christopher D. Manning , Prabhakar Raghavan , and Hinrich Sch\u00fctze . 2008. Introduction to Information Retrieval . Cambridge University Press . Christopher D. Manning, Prabhakar Raghavan, and Hinrich Sch\u00fctze. 2008. Introduction to Information Retrieval. Cambridge University Press."},{"key":"e_1_3_2_2_10_1","volume-title":"Triplet Similarity Embedding for Face Verification. arXiv","author":"Sankaranarayanan Swami","year":"2016","unstructured":"Swami Sankaranarayanan , Azadeh Alavi , and Rama Chellappa . 2016. Triplet Similarity Embedding for Face Verification. arXiv , Vol. abs\/ 1602 .03418 ( 2016 ). Swami Sankaranarayanan, Azadeh Alavi, and Rama Chellappa. 2016. Triplet Similarity Embedding for Face Verification. arXiv, Vol. abs\/1602.03418 (2016)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.434"},{"key":"e_1_3_2_2_13_1","unstructured":"C. Wah S. Branson P. Welinder P. Perona and S. Belongie. 2011. The Caltech-UCSD Birds-200--2011 Dataset. CNS-TR-2011-001 (2011).  C. Wah S. Branson P. Welinder P. Perona and S. Belongie. 2011. The Caltech-UCSD Birds-200--2011 Dataset. CNS-TR-2011-001 (2011)."},{"key":"e_1_3_2_2_14_1","volume-title":"Sampling Matters in Deep Embedding Learning. In The IEEE International Conference on Computer Vision (ICCV). 2840--2848","author":"Wu Chao-Yuan","year":"2017","unstructured":"Chao-Yuan Wu , R. Manmatha , Alexander J. Smola , and Philipp Krahenbuhl . 2017 . Sampling Matters in Deep Embedding Learning. In The IEEE International Conference on Computer Vision (ICCV). 2840--2848 . Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, and Philipp Krahenbuhl. 2017. Sampling Matters in Deep Embedding Learning. In The IEEE International Conference on Computer Vision (ICCV). 2840--2848."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Ireland","acronym":"CIKM '20"},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412142","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:30Z","timestamp":1750197750000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":14,"alternative-id":["10.1145\/3340531.3412142","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412142","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}