{"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/attentionmask-attentive-efficient-object","title":"AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects","arxiv_id":"1811.08728","date":"2018-11-21","proceeding":null,"authors":["Christian Wilms","Simone Frintrop"],"abstract":"We propose a novel approach for class-agnostic object proposal generation,\nwhich is efficient and especially well-suited to detect small objects.\nEfficiency is achieved by scale-specific objectness attention maps which focus\nthe processing on promising parts of the image and reduce the amount of sampled\nwindows strongly. This leads to a system, which is $33\\%$ faster than the\nstate-of-the-art and clearly outperforming state-of-the-art in terms of average\nrecall. Secondly, we add a module for detecting small objects, which are often\nmissed by recent models. We show that this module improves the average recall\nfor small objects by about $53\\%$.","url_abs":"http://arxiv.org/abs/1811.08728v1","url_pdf":"http://arxiv.org/pdf/1811.08728v1.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":"attentionmask-attentive-efficient-object","repo_url":"https://github.com/chwilms/AttentionMask","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"object-proposal-generation","task_name":"Object Proposal Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.08728","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}