{"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/12043968","title":"Convolutional Neural Networks Applied to House Numbers Digit Classification","arxiv_id":"1204.3968","date":"2012-04-18","proceeding":null,"authors":["Pierre Sermanet","Soumith Chintala","Yann Lecun"],"abstract":"We classify digits of real-world house numbers using convolutional neural\nnetworks (ConvNets). ConvNets are hierarchical feature learning neural networks\nwhose structure is biologically inspired. Unlike many popular vision approaches\nthat are hand-designed, ConvNets can automatically learn a unique set of\nfeatures optimized for a given task. We augmented the traditional ConvNet\narchitecture by learning multi-stage features and by using Lp pooling and\nestablish a new state-of-the-art of 94.85% accuracy on the SVHN dataset (45.2%\nerror improvement). Furthermore, we analyze the benefits of different pooling\nmethods and multi-stage features in ConvNets. The source code and a tutorial\nare available at eblearn.sf.net.","url_abs":"http://arxiv.org/abs/1204.3968v1","url_pdf":"http://arxiv.org/pdf/1204.3968v1.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":"12043968","repo_url":"https://github.com/Factotum8/test_task_street_view_house_numbers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"12043968","repo_url":"https://github.com/Pek20180909/SVHN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1204.3968","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}