{"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/face-detection-with-the-faster-r-cnn","title":"Face Detection with the Faster R-CNN","arxiv_id":"1606.03473","date":"2016-06-10","proceeding":null,"authors":["Huaizu Jiang","Erik Learned-Miller"],"abstract":"The Faster R-CNN has recently demonstrated impressive results on various\nobject detection benchmarks. By training a Faster R-CNN model on the large\nscale WIDER face dataset, we report state-of-the-art results on two widely used\nface detection benchmarks, FDDB and the recently released IJB-A.","url_abs":"http://arxiv.org/abs/1606.03473v1","url_pdf":"http://arxiv.org/pdf/1606.03473v1.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":[{"paper_slug":"face-detection-with-the-faster-r-cnn","repo_url":"https://github.com/playerkk/face-py-faster-rcnn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"caffe2","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"faster-r-cnn","method_name":"Faster R-CNN"},{"method_slug":"rpn","method_name":"RPN"},{"method_slug":"roipool","method_name":"RoIPool"},{"method_slug":"softmax","method_name":"Softmax"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1606.03473","atlas_url":"https://app.syntology.ai/?focus=1606.03473","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}