{"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/towards-generalizable-multi-object-tracking","title":"Towards Generalizable Multi-Object Tracking","arxiv_id":"2406.00429","date":"2024-06-01","proceeding":"CVPR 2024 1","authors":["Zheng Qin","Le Wang","Sanping Zhou","Panpan Fu","Gang Hua","Wei Tang"],"abstract":"Multi-Object Tracking MOT encompasses various tracking scenarios, each characterized by unique traits. Effective trackers should demonstrate a high degree of generalizability across diverse scenarios. 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