{"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/re3-real-time-recurrent-regression-networks","title":"Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects","arxiv_id":"1705.06368","date":"2017-05-17","proceeding":null,"authors":["Daniel Gordon","Ali Farhadi","Dieter Fox"],"abstract":"Robust object tracking requires knowledge and understanding of the object\nbeing tracked: its appearance, its motion, and how it changes over time. A\ntracker must be able to modify its underlying model and adapt to new\nobservations. We present Re3, a real-time deep object tracker capable of\nincorporating temporal information into its model. Rather than focusing on a\nlimited set of objects or training a model at test-time to track a specific\ninstance, we pretrain our generic tracker on a large variety of objects and\nefficiently update on the fly; Re3 simultaneously tracks and updates the\nappearance model with a single forward pass. This lightweight model is capable\nof tracking objects at 150 FPS, while attaining competitive results on\nchallenging benchmarks. We also show that our method handles temporary\nocclusion better than other comparable trackers using experiments that directly\nmeasure performance on sequences with occlusion.","url_abs":"http://arxiv.org/abs/1705.06368v3","url_pdf":"http://arxiv.org/pdf/1705.06368v3.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":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/KARAASLAN-AI/re3-object-tracking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/championway/re3_tracking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/chikuanlin/re3-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/codecolony/re3-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/danielgordon10/re3-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/godcrampy/re3-custom","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/hutgun11/muti_object_tracking_re3","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/kibernetika-ai/re3-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/mkartikkumar/re3-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/natdebru/OpenCV-Video-Label","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"re3-real-time-recurrent-regression-networks","repo_url":"https://github.com/touchjet/re3-tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-tracking","task_name":"Object Tracking"},{"task_slug":"visual-tracking","task_name":"Visual Tracking"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}