{"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/scalable-deep-learning-logo-detection","title":"Scalable Deep Learning Logo Detection","arxiv_id":"1803.11417","date":"2018-03-30","proceeding":null,"authors":["Hang Su","Shaogang Gong","Xiatian Zhu"],"abstract":"Existing logo detection methods usually consider a small number of logo\nclasses and limited images per class with a strong assumption of requiring\ntedious object bounding box annotations, therefore not scalable to real-world\ndynamic applications. In this work, we tackle these challenges by exploring the\nwebly data learning principle without the need for exhaustive manual labelling.\nSpecifically, we propose a novel incremental learning approach, called Scalable\nLogo Self-co-Learning (SL^2), capable of automatically self-discovering\ninformative training images from noisy web data for progressively improving\nmodel capability in a cross-model co-learning manner. Moreover, we introduce a\nvery large (2,190,757 images of 194 logo classes) logo dataset \"WebLogo-2M\" by\nan automatic web data collection and processing method. Extensive comparative\nevaluations demonstrate the superiority of the proposed SL^2 method over the\nstate-of-the-art strongly and weakly supervised detection models and\ncontemporary webly data learning approaches.","url_abs":"http://arxiv.org/abs/1803.11417v2","url_pdf":"http://arxiv.org/pdf/1803.11417v2.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":"scalable-deep-learning-logo-detection","repo_url":"https://github.com/depture/synthesio-vision","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"scalable-deep-learning-logo-detection","repo_url":"https://github.com/synthesio/vision-test","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"incremental-learning","task_name":"Incremental Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.11417","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}