{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:36Z","timestamp":1750220316697,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T00:00:00Z","timestamp":1641600000000},"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":[[2022,1,8]]},"DOI":"10.1145\/3493700.3493738","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T23:54:21Z","timestamp":1641599661000},"page":"265-269","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Accurate and Real Time Assisted Cataloging in E-commerce using Dual Images"],"prefix":"10.1145","author":[{"given":"Haricharan","family":"Aragonda","sequence":"first","affiliation":[{"name":"Flipkart Internet Pvt Ltd., IN"}]},{"given":"Karimulla","family":"Shaik","sequence":"additional","affiliation":[{"name":"Flipkart Internet Pvt Ltd., IN"}]},{"given":"Harshit","family":"Jain","sequence":"additional","affiliation":[{"name":"Flipkart Internet Pvt Ltd., IN"}]},{"given":"Samir","family":"Shah","sequence":"additional","affiliation":[{"name":"Flipkart Internet Pvt Ltd., IN"}]}],"member":"320","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00398"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/KSE.2017.8119457"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"e_1_3_2_1_5_1","series-title":"CLEF2015 Working notes","volume-title":"LifeCLEF Plant Identification Task","author":"Herve Goeau","year":"2015","unstructured":"Goeau Herve, Bonnet Pierre, and Joly Alexis. 2015. LifeCLEF Plant Identification Task 2015. In In CEUR-WS, editor, CLEF: Conference and Labs of the Evaluation forum. volume 1391 of CLEF2015 Working notes."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.79"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836321"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Fengzi Li Shashi Kant Shunichi Araki Sumer Bangera and Swapna\u00a0Samir Shukla. 2020. Neural Networks for Fashion Image Classification and Visual Search. arXiv:arXiv:2005.08170","DOI":"10.2139\/ssrn.3602664"},{"key":"e_1_3_2_1_9_1","volume-title":"Don\u2019t Classify","author":"Li Maggie\u00a0Yundi","year":"1812","unstructured":"Maggie\u00a0Yundi Li, Stanley Kok, and Liling Tan. 2018. Don\u2019t Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. arXiv preprint arXiv:1812.05774(2018)."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0\u20130.","author":"Liu Jingyuan","year":"2018","unstructured":"Jingyuan Liu and Hong Lu. 2018. Deep fashion analysis with feature map upsampling and landmark-driven attention. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0\u20130."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911996.2912058"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"e_1_3_2_1_13_1","volume-title":"Chinese Conference on Image and Graphics Technologies. Springer, 199\u2013209","author":"Ma Yanxin","year":"2017","unstructured":"Yanxin Ma, Bin Zheng, Yulan Guo, Yinjie Lei, and Jun Zhang. 2017. Boosting multi-view convolutional neural networks for 3D object recognition via view saliency. In Chinese Conference on Image and Graphics Technologies. Springer, 199\u2013209."},{"key":"e_1_3_2_1_14_1","unstructured":"Rafael M\u00fcller Simon Kornblith and Geoffrey Hinton. 2019. When Does Label Smoothing Help?arXiv:arXiv:1906.02629"},{"key":"e_1_3_2_1_15_1","volume-title":"A machine learning approach for product matching and categorization. Semantic web 9, 5","author":"Ristoski Petar","year":"2018","unstructured":"Petar Ristoski, Petar Petrovski, Peter Mika, and Heiko Paulheim. 2018. A machine learning approach for product matching and categorization. Semantic web 9, 5 (2018), 707\u2013728."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision Workshops. 2236\u20132242","author":"Rubio Antonio","year":"2017","unstructured":"Antonio Rubio, LongLong Yu, Edgar Simo-Serra, and Francesc Moreno-Noguer. 2017. Multi-modal embedding for main product detection in fashion. In Proceedings of the IEEE International Conference on Computer Vision Workshops. 2236\u20132242."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0245230"},{"key":"e_1_3_2_1_18_1","volume-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. International Conference on Machine Learning, 2019. (2019","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc\u00a0V. Le. 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. International Conference on Machine Learning, 2019. (2019). arXiv:arXiv:1905.11946"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330696"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3272127.3275050","article-title":"Adaptive o-cnn: a patch-based deep representation of 3d shapes","volume":"37","author":"Wang Peng-Shuai","year":"2018","unstructured":"Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, and Xin Tong. 2018. Adaptive o-cnn: a patch-based deep representation of 3d shapes. ACM Transactions on Graphics (TOG) 37, 6 (2018), 1\u201311.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.07.031"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11419"},{"key":"e_1_3_2_1_23_1","unstructured":"Liang Zheng Yali Zhao Shengjin Wang Jingdong Wang and Qi Tian. 2016. Good Practice in CNN Feature Transfer. arXiv:arXiv:1604.00133"}],"event":{"name":"CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Bangalore India","acronym":"CODS-COMAD 2022"},"container-title":["Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493738","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3493700.3493738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:51Z","timestamp":1750191111000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493738"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,8]]},"references-count":23,"alternative-id":["10.1145\/3493700.3493738","10.1145\/3493700"],"URL":"https:\/\/doi.org\/10.1145\/3493700.3493738","relation":{},"subject":[],"published":{"date-parts":[[2022,1,8]]},"assertion":[{"value":"2022-01-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}