{"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/phocnet-a-deep-convolutional-neural-network","title":"PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents","arxiv_id":"1604.00187","date":"2016-04-01","proceeding":null,"authors":["Sebastian Sudholt","Gernot A. Fink"],"abstract":"In recent years, deep convolutional neural networks have achieved state of\nthe art performance in various computer vision task such as classification,\ndetection or segmentation. Due to their outstanding performance, CNNs are more\nand more used in the field of document image analysis as well. In this work, we\npresent a CNN architecture that is trained with the recently proposed PHOC\nrepresentation. We show empirically that our CNN architecture is able to\noutperform state of the art results for various word spotting benchmarks while\nexhibiting short training and test times.","url_abs":"http://arxiv.org/abs/1604.00187v3","url_pdf":"http://arxiv.org/pdf/1604.00187v3.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":"phocnet-a-deep-convolutional-neural-network","repo_url":"https://github.com/pinakinathc/phocnet_keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"word-spotting-in-handwritten-documents","task_name":"Word Spotting In Handwritten Documents"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1604.00187","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}