{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T23:44:28Z","timestamp":1769816668476,"version":"3.49.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Facial attribute recognition is an important and yet challenging research\n\ntopic. Different from most previous approaches which predict attributes\n\nonly based on the whole images, this paper leverages facial parts\n\nlocations for better attribute prediction. A facial abstraction image\n\nwhich contains both local facial parts and facial texture information\n\nis introduced. This abstraction image is generated by a Generative\n\nAdversarial Network (GAN). Then we build a dual-path facial attribute\n\nrecognition network to utilize features from the original face images\n\nand facial abstraction images. Empirically, the features of facial\n\nabstraction images are complementary to features of original face\n\nimages. With the facial parts localized by the abstraction images,\n\nour method improves facial attributes recognition, especially the\n\nattributes located on small face regions. Extensive evaluations conducted\n\non CelebA and LFWA benchmark datasets show that state-of-the-art performance\n\nis achieved.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/102","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"733-740","source":"Crossref","is-referenced-by-count":40,"title":["Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition"],"prefix":"10.24963","author":[{"given":"Keke","family":"He","sequence":"first","affiliation":[{"name":"School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanwei","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wuhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent Youtu Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Gang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyue","family":"Huang","sequence":"additional","affiliation":[{"name":"Tencent Youtu Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyang","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:51Z","timestamp":1530755391000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/102"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/102","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}