{"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/deep-learning-for-logo-recognition","title":"Deep Learning for Logo Recognition","arxiv_id":"1701.02620","date":"2017-01-10","proceeding":null,"authors":["Simone Bianco","Marco Buzzelli","Davide Mazzini","Raimondo Schettini"],"abstract":"In this paper we propose a method for logo recognition using deep learning.\nOur recognition pipeline is composed of a logo region proposal followed by a\nConvolutional Neural Network (CNN) specifically trained for logo\nclassification, even if they are not precisely localized. Experiments are\ncarried out on the FlickrLogos-32 database, and we evaluate the effect on\nrecognition performance of synthetic versus real data augmentation, and image\npre-processing. Moreover, we systematically investigate the benefits of\ndifferent training choices such as class-balancing, sample-weighting and\nexplicit modeling the background class (i.e. no-logo regions). Experimental\nresults confirm the feasibility of the proposed method, that outperforms the\nmethods in the state of the art.","url_abs":"http://arxiv.org/abs/1701.02620v2","url_pdf":"http://arxiv.org/pdf/1701.02620v2.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":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"logo-recognition","task_name":"Logo Recognition"},{"task_slug":"region-proposal","task_name":"Region Proposal"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/image-classification-on-flickrlogos-32","task":"Image Classification","dataset":"FlickrLogos-32","model":"TC-VII (with outside data)","rank_in_archive_order":1,"of":3,"metrics":{"Accuracy":"96.0"},"uses_additional_data":false},{"leaderboard":"/sota/image-classification-on-flickrlogos-32","task":"Image Classification","dataset":"FlickrLogos-32","model":"TC-VII (without outside data)","rank_in_archive_order":2,"of":3,"metrics":{"Accuracy":"91.7"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}