{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:17:57Z","timestamp":1775578677673,"version":"3.50.1"},"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\/3493700.3493739","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T23:54:21Z","timestamp":1641599661000},"page":"270-274","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["VPER: Visual Product Entity Recognition for Fashion-wear"],"prefix":"10.1145","author":[{"given":"Viral","family":"Parekh","sequence":"first","affiliation":[{"name":"Flipkart Internet Pvt Ltd, India"}]},{"given":"Surbhi","family":"Mathur","sequence":"additional","affiliation":[{"name":"Flipkart Internet Pvt Ltd, India"}]},{"given":"Soma","family":"Biswas","sequence":"additional","affiliation":[{"name":"Indian Institute of Science, India"}]},{"given":"Karimulla","family":"Shaik","sequence":"additional","affiliation":[{"name":"Flipkart Internet Pvt Ltd, India"}]}],"member":"320","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403311"},{"key":"e_1_3_2_1_2_1","unstructured":"Xiangning Chen Cihang Xie Mingxing Tan Li Zhang Cho-Jui Hsieh and Boqing Gong. 2021. Robust and Accurate Object Detection via Adversarial Learning. arxiv:2103.13886\u00a0[cs.CV]"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3035781"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00377"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240550"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219843"},{"key":"e_1_3_2_1_7_1","volume-title":"Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.), Vol.\u00a032. Curran Associates","author":"Jeong Jisoo","year":"2019","unstructured":"Jisoo Jeong, Seungeui Lee, Jeesoo Kim, and Nojun Kwak. 2019. Consistency-based Semi-supervised Learning for Object detection. In Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.), Vol.\u00a032. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/d0f4dae80c3d0277922f8371d5827292-Paper.pdf"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_19"},{"key":"e_1_3_2_1_9_1","volume-title":"ICML 2013 Workshop : Challenges in Representation Learning (WREPL) (07","author":"Lee Dong-Hyun","year":"2013","unstructured":"Dong-Hyun Lee. 2013. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks. ICML 2013 Workshop : Challenges in Representation Learning (WREPL) (07 2013)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00447"},{"key":"e_1_3_2_1_13_1","unstructured":"Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee and Tomas Pfister. 2020. A Simple Semi-Supervised Learning Framework for Object Detection. arxiv:2005.04757\u00a0[cs.CV]"},{"key":"e_1_3_2_1_14_1","volume-title":"Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network","author":"Su Haibo","year":"2020","unstructured":"Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, and Yanning Zhang. 2020. Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network. IEEE Transactions on Circuits and Systems for Video Technology (2020)."},{"key":"e_1_3_2_1_15_1","volume-title":"International Conference on Machine Learning. PMLR, 6105\u20136114","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc Le. 2019. Efficientnet: Rethinking model scaling for convolutional neural networks. In International Conference on Machine Learning. PMLR, 6105\u20136114."},{"key":"e_1_3_2_1_16_1","unstructured":"Mingxing Tan Ruoming Pang and Quoc\u00a0V. Le. 2020. EfficientDet: Scalable and Efficient Object Detection. arxiv:1911.09070\u00a0[cs.CV]"},{"key":"e_1_3_2_1_17_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. arXiv preprint arXiv:1706.03762(2017)."},{"key":"e_1_3_2_1_18_1","unstructured":"Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong and Quoc\u00a0V. Le. 2020. Unsupervised Data Augmentation for Consistency Training. arxiv:1904.12848\u00a0[cs.LG]"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Xiaohua Zhai Avital Oliver Alexander Kolesnikov and Lucas Beyer. 2019. S4L: Self-Supervised Semi-Supervised Learning. arxiv:1905.03670\u00a0[cs.CV]","DOI":"10.1109\/ICCV.2019.00156"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2902268"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219820"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01355"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Barret Zoph Ekin\u00a0D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens and Quoc\u00a0V. Le. 2019. Learning Data Augmentation Strategies for Object Detection. arxiv:1906.11172\u00a0[cs.CV]","DOI":"10.1007\/978-3-030-58583-9_34"}],"event":{"name":"CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","location":"Bangalore India","acronym":"CODS-COMAD 2022","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"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\/3493700.3493739","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3493700.3493739","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\/3493700.3493739"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,8]]},"references-count":23,"alternative-id":["10.1145\/3493700.3493739","10.1145\/3493700"],"URL":"https:\/\/doi.org\/10.1145\/3493700.3493739","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"}}]}}