{"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/zero-shot-object-detection-by-hybrid-region","title":"Zero-Shot Object Detection by Hybrid Region Embedding","arxiv_id":"1805.06157","date":"2018-05-16","proceeding":null,"authors":["Berkan Demirel","Ramazan Gokberk Cinbis","Nazli Ikizler-Cinbis"],"abstract":"Object detection is considered as one of the most challenging problems in\ncomputer vision, since it requires correct prediction of both classes and\nlocations of objects in images. In this study, we define a more difficult\nscenario, namely zero-shot object detection (ZSD) where no visual training data\nis available for some of the target object classes. We present a novel approach\nto tackle this ZSD problem, where a convex combination of embeddings are used\nin conjunction with a detection framework. For evaluation of ZSD methods, we\npropose a simple dataset constructed from Fashion-MNIST images and also a\ncustom zero-shot split for the Pascal VOC detection challenge. The experimental\nresults suggest that our method yields promising results for ZSD.","url_abs":"http://arxiv.org/abs/1805.06157v2","url_pdf":"http://arxiv.org/pdf/1805.06157v2.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":"zero-shot-object-detection-by-hybrid-region","repo_url":"https://github.com/KennithLi/Awesome-Zero-Shot-Object-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"zero-shot-object-detection-by-hybrid-region","repo_url":"https://github.com/berkandemirel/zero-shot-detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"zero-shot-object-detection","task_name":"Zero-Shot Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/zero-shot-object-detection-on-pascal-voc-07","task":"Zero-Shot Object Detection","dataset":"PASCAL VOC'07","model":"HRE","rank_in_archive_order":7,"of":7,"metrics":{"mAP":"54.20"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1805.06157","atlas_url":"https://app.syntology.ai/?focus=1805.06157","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}