{"url":"/method/jla","slug":"jla","name":"JLA","full_name":"Joint Learning Architecture","full_name_withheld":false,"description_markdown":"**JLA**, or **Joint Learning Architecture**, is an approach for multiple object tracking and trajectory forecasting. It jointly trains a tracking and trajectory forecasting model, and the trajectory forecasts are used for short-term motion estimates in lieu of linear motion prediction methods such as the Kalman filter. It uses a [FairMOT](https://paperswithcode.com/method/fairmot) model as the base model because this architecture already performs detection and tracking. A forecasting branch is added to the network and is trained end-to-end. [FairMOT](https://paperswithcode.com/method/fairmot) consist of a backbone network utilizing [Deep Layer Aggregation](https://www.paperswithcode.com/method/dla), an object detection head, and a reID head.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting","paper":"/paper/joint-learning-architecture-for-multiple","first_author":"Oluwafunmilola Kesa","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/joint-learning-architecture-for-multiple"},"source":{"url":"https://arxiv.org/abs/2108.10543v1","title":"Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Multi-Object Tracking Models","url":"/methods/category/multi-object-tracking-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/joint-learning-architecture-for-multiple","title":"Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting","date":"2021-08-24","arxiv_id":"2108.10543","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/multiple-object-tracking","name":"Multiple Object Tracking","papers":1},{"task":"/task/object-tracking","name":"Object Tracking","papers":1},{"task":"/task/prediction","name":"Prediction","papers":1},{"task":"/task/trajectory-forecasting","name":"Trajectory Forecasting","papers":1},{"task":"/task/motion-prediction","name":"motion prediction","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/jla"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}