{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T01:51:47Z","timestamp":1768269107640,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"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":[[2021,10,17]]},"DOI":"10.1145\/3474085.3478327","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T20:00:05Z","timestamp":1634587205000},"page":"3755-3758","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["MMFashion"],"prefix":"10.1145","author":[{"given":"Xin","family":"Liu","sequence":"first","affiliation":[{"name":"Nanyang Technology Unversity, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiancheng","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqi","family":"Wang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanyang Technology Unversity, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2018. deep-fashion-retrieval. https:\/\/github.com\/ihciah\/deep-fashion-retrieval.  2018. deep-fashion-retrieval. https:\/\/github.com\/ihciah\/deep-fashion-retrieval."},{"key":"e_1_3_2_1_2_1","unstructured":"2018. tf.fashionAI. https:\/\/github.com\/HiKapok\/tf.fashionAI.  2018. tf.fashionAI. https:\/\/github.com\/HiKapok\/tf.fashionAI."},{"key":"e_1_3_2_1_3_1","unstructured":"2019. fashion-recommendation. https:\/\/github.com\/khanhnamle1994\/fashion- recommendation  2019. fashion-recommendation. https:\/\/github.com\/khanhnamle1994\/fashion- recommendation"},{"key":"e_1_3_2_1_4_1","volume-title":"et almbox","author":"Chen Kai","year":"2019"},{"key":"e_1_3_2_1_5_1","volume-title":"Deep convolutional ranking for multilabel image annotation. arXiv preprint arXiv:1312.4894","author":"Gong Yunchao","year":"2013"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123394"},{"key":"e_1_3_2_1_7_1","unstructured":"Kaiming He Georgia Gkioxari Piotr Doll\u00e1r and Ross Girshick. 2017. Mask r-cnn. In ICCV.  Kaiming He Georgia Gkioxari Piotr Doll\u00e1r and Ross Girshick. 2017. Mask r-cnn. In ICCV."},{"key":"e_1_3_2_1_8_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR."},{"key":"e_1_3_2_1_9_1","volume-title":"Learning Diverse Fashion Collocation by Neural Graph Filtering. arXiv preprint arXiv:2003.04888","author":"Liu Xin","year":"2020"},{"key":"e_1_3_2_1_10_1","volume-title":"Deepfashion: Powering robust clothes recognition and retrieval with rich annotations. In CVPR.","author":"Liu Ziwei","year":"2016"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Ziwei Liu Sijie Yan Ping Luo Xiaogang Wang and Xiaoou Tang. 2016b. Fashion landmark detection in the wild. In ECCV.  Ziwei Liu Sijie Yan Ping Luo Xiaogang Wang and Xiaoou Tang. 2016b. Fashion landmark detection in the wild. In ECCV.","DOI":"10.1007\/978-3-319-46475-6_15"},{"key":"e_1_3_2_1_12_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017).  Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017)."},{"key":"e_1_3_2_1_13_1","volume-title":"Learning to Synthesize Fashion Textures. arXiv preprint arXiv:1911.07472","author":"Shi Wu","year":"2019"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Mariya I Vasileva Bryan A Plummer Krishna Dusad Shreya Rajpal Ranjitha Kumar and David Forsyth. 2018. Learning type-aware embeddings for fashion compatibility. In ECCV.  Mariya I Vasileva Bryan A Plummer Krishna Dusad Shreya Rajpal Ranjitha Kumar and David Forsyth. 2018. Learning type-aware embeddings for fashion compatibility. In ECCV.","DOI":"10.1007\/978-3-030-01270-0_24"},{"key":"e_1_3_2_1_15_1","unstructured":"Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. [arXiv]cs.LG\/1708.07747 [cs.LG]  Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. [arXiv]cs.LG\/1708.07747 [cs.LG]"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123276"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3478327","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3478327","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:26Z","timestamp":1750193306000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3478327"}},"subtitle":["An Open-Source Toolbox for Visual Fashion Analysis"],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":16,"alternative-id":["10.1145\/3474085.3478327","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3478327","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}