Jun 10, 2020 · We propose a concise end-to-end model TubeTK which only needs one step training by introducing the ``bounding-tube" to indicate temporal-spatial locations of ...

We hope that the proposed TubeTK model can serve as a simple but strong alternative for video-based. MOT task. The code and model will be publicly available.

In our TubeTK (the second row), it generates bounding-tubes based on temporal-spatial features that encode targets' spatial location and moving trail at the ...

TubeTK is an one-step end-to-end multi-object tracking method, which is the first end-to-end open-source system that achieves 60+ MOTA on MOT-16 (64 MOTA) ...

We propose a concise end-to-end model TubeTK which only needs one step training by introducing the "bounding-tube" to indicate temporal-spatial locations of ...

GTR [27] groups detections from consecutive frames into trajectories using trajectory queries, and TubeTK [28] extends bounding boxes to video-based bounding ...

Tube GIoU is a 3D extension version of the original. GIoU, from area to volume. To calculate it, we need to get the volume of the predicted and GT Btubes ...

Jun 1, 2020 · A concise end-to-end model TubeTK which only needs one step training by introducing the "bounding-tube" to indicate temporal-spatial ...

To address these challenges, we propose a concise end-to-end model TubeTK which only needs one step training by introducing the ``bounding-tube" to indicate ...

Mar 21, 2020 · TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. In CVPR, 2020. Last submitted: March 08, 2020 (4 years ago).