{"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/deepball-deep-neural-network-ball-detector","title":"DeepBall: Deep Neural-Network Ball Detector","arxiv_id":"1902.07304","date":"2019-02-19","proceeding":null,"authors":["Jacek Komorowski","Grzegorz Kurzejamski","Grzegorz Sarwas"],"abstract":"The paper describes a deep network based object detector specialized for ball\ndetection in long shot videos. Due to its fully convolutional design, the\nmethod operates on images of any size and produces \\emph{ball confidence map}\nencoding the position of detected ball. The network uses hypercolumn concept,\nwhere feature maps from different hierarchy levels of the deep convolutional\nnetwork are combined and jointly fed to the convolutional classification layer.\nThis allows boosting the detection accuracy as larger visual context around the\nobject of interest is taken into account. The method achieves state-of-the-art\nresults when tested on publicly available ISSIA-CNR Soccer Dataset.","url_abs":"http://arxiv.org/abs/1902.07304v1","url_pdf":"http://arxiv.org/pdf/1902.07304v1.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":"deepball-deep-neural-network-ball-detector","repo_url":"https://github.com/RvI101/Ball-Action-Recognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deepball-deep-neural-network-ball-detector","repo_url":"https://github.com/RvI101/DeepBall-Keras","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deepball-deep-neural-network-ball-detector","repo_url":"https://github.com/nttcom/wasb-sbdt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"object","task_name":"Object"},{"task_slug":null,"task_name":"Position"},{"task_slug":"sports-ball-detection-and-tracking","task_name":"Sports Ball Detection and Tracking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/sports-ball-detection-and-tracking-on","task":"Sports Ball Detection and Tracking","dataset":"Badminton","model":"DeepBall","rank_in_archive_order":7,"of":8,"metrics":{"Accuracy (%)":"38.6","Average Precision (%)":"60.0","F1 (%)":"52.4"},"uses_additional_data":false},{"leaderboard":"/sota/sports-ball-detection-and-tracking-on-2","task":"Sports Ball Detection and Tracking","dataset":"Basketball","model":"DeepBall","rank_in_archive_order":8,"of":8,"metrics":{"Accuracy (%)":"12.9","Average Precision (%)":"0","F1 (%)":"0"},"uses_additional_data":false},{"leaderboard":"/sota/sports-ball-detection-and-tracking-on-sbdt","task":"Sports Ball Detection and Tracking","dataset":"Soccer","model":"DeepBall","rank_in_archive_order":7,"of":8,"metrics":{"Accuracy (% )":"92.7","Average Precision (%)":"26.3","F1 (%)":"44.5"},"uses_additional_data":false},{"leaderboard":"/sota/sports-ball-detection-and-tracking-on-tennis","task":"Sports Ball Detection and Tracking","dataset":"Tennis","model":"DeepBall","rank_in_archive_order":7,"of":8,"metrics":{"Accuracy (%)":"32.3","Average Precision (%)":"47.0","F1 (%)":"47.4"},"uses_additional_data":false},{"leaderboard":"/sota/sports-ball-detection-and-tracking-on-1","task":"Sports Ball Detection and Tracking","dataset":"Volleyball","model":"DeepBall","rank_in_archive_order":7,"of":8,"metrics":{"Accuracy (%)":"50.7","Average Precision (%)":"49.2","F1 (%)":"64.4"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}