{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pushing-the-limits-of-unconstrained-face","title":"Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results","arxiv_id":"1804.10275","date":"2018-04-26","proceeding":null,"authors":["Hajime Nada","Vishwanath A. Sindagi","He Zhang","Vishal M. Patel"],"abstract":"Face detection has witnessed immense progress in the last few years, with new\nmilestones being surpassed every year. While many challenges such as large\nvariations in scale, pose, appearance are successfully addressed, there still\nexist several issues which are not specifically captured by existing methods or\ndatasets. In this work, we identify the next set of challenges that requires\nattention from the research community and collect a new dataset of face images\nthat involve these issues such as weather-based degradations, motion blur,\nfocus blur and several others. We demonstrate that there is a considerable gap\nin the performance of state-of-the-art detectors and real-world requirements.\nHence, in an attempt to fuel further research in unconstrained face detection,\nwe present a new annotated Unconstrained Face Detection Dataset (UFDD) with\nseveral challenges and benchmark recent methods. Additionally, we provide an\nin-depth analysis of the results and failure cases of these methods. The\ndataset as well as baseline results will be made publicly available in due\ntime. The UFDD dataset as well as baseline results are available at:\nwww.ufdd.info/","url_abs":"http://arxiv.org/abs/1804.10275v3","url_pdf":"http://arxiv.org/pdf/1804.10275v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"robust-face-recognition","task_name":"Robust Face Recognition"}],"methods":[],"datasets_introduced":[{"slug":"ufdd","name":"UFDD","full_name":"Unconstrained Face Detection Dataset"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1804.10275","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}