{"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/detecting-heads-using-feature-refine-net-and","title":"Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture","arxiv_id":"1803.09256","date":"2018-03-25","proceeding":null,"authors":["Dezhi Peng","Zikai Sun","Zirong Chen","Zirui Cai","Lele Xie","Lianwen Jin"],"abstract":"This paper presents a method that can accurately detect heads especially\nsmall heads under the indoor scene. To achieve this, we propose a novel method,\nFeature Refine Net (FRN), and a cascaded multi-scale architecture. FRN exploits\nthe multi-scale hierarchical features created by deep convolutional neural\nnetworks. The proposed channel weighting method enables FRN to make use of\nfeatures alternatively and effectively. To improve the performance of small\nhead detection, we propose a cascaded multi-scale architecture which has two\ndetectors. One called global detector is responsible for detecting large\nobjects and acquiring the global distribution information. The other called\nlocal detector is designed for small objects detection and makes use of the\ninformation provided by global detector. Due to the lack of head detection\ndatasets, we have collected and labeled a new large dataset named SCUT-HEAD\nwhich includes 4405 images with 111251 heads annotated. Experiments show that\nour method has achieved state-of-the-art performance on SCUT-HEAD.","url_abs":"http://arxiv.org/abs/1803.09256v4","url_pdf":"http://arxiv.org/pdf/1803.09256v4.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":"head-detection","task_name":"Head Detection"}],"methods":[],"datasets_introduced":[{"slug":"scut-head","name":"SCUT-HEAD","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.09256","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}