{"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/improved-techniques-for-weakly-supervised","title":"Improved Techniques For Weakly-Supervised Object Localization","arxiv_id":"1802.07888","date":"2018-02-22","proceeding":null,"authors":["Junsuk Choe","Joo Hyun Park","Hyunjung Shim"],"abstract":"We propose an improved technique for weakly-supervised object localization.\nConventional methods have a limitation that they focus only on most\ndiscriminative parts of the target objects. The recent study addressed this\nissue and resolved this limitation by augmenting the training data for less\ndiscriminative parts. To this end, we employ an effective data augmentation for\nimproving the accuracy of the object localization. In addition, we introduce\nimproved learning techniques by optimizing Convolutional Neural Networks (CNN)\nbased on the state-of-the-art model. Based on extensive experiments, we\nevaluate the effectiveness of the proposed approach both qualitatively and\nquantitatively. Especially, we observe that our method improves the Top-1\nlocalization accuracy by 21.4 - 37.3% depending on configurations, compared to\nthe current state-of-the-art technique of the weakly-supervised object\nlocalization.","url_abs":"http://arxiv.org/abs/1802.07888v2","url_pdf":"http://arxiv.org/pdf/1802.07888v2.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":"object","task_name":"Object"},{"task_slug":"object-localization","task_name":"Object Localization"},{"task_slug":"weakly-supervised-object-localization","task_name":"Weakly-Supervised Object Localization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/weakly-supervised-object-localization-on-tiny","task":"Weakly-Supervised Object Localization","dataset":"Tiny ImageNet","model":"ADL","rank_in_archive_order":3,"of":3,"metrics":{"Top-1 Localization Accuracy":"36.00"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1802.07888","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}