1 code implementation • 26 Sep 2023 • Sapir Kontente, Roy Orfaig, Ben-Zion Bobrovsky
Our research introduces MatchNet, a deep learning submodule-based approach aimed at improving the label assignment process.
Ranked #11 on Lane Detection on CULane
1 code implementation • 24 Oct 2022 • Amit Galor, Roy Orfaig, Ben-Zion Bobrovsky
TransCenter is the first center-based transformer framework for MOT, and is also among the first to show the benefits of using transformer-based architectures for MOT.
Ranked #1 on Multiple Object Tracking with Transformer on MOT20
Multi-Object Tracking Multiple Object Tracking with Transformer
5 code implementations • 29 Jun 2022 • Nir Aharon, Roy Orfaig, Ben-Zion Bobrovsky
The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object.
Ranked #3 on Multi-Object Tracking on MOT20 (using extra training data)