Kitti Mots Benchmark Multi Object Tracking And Segmentation Papers

Mots Multi Object Tracking And Segmentation Papers With Code It scores 5715% high-order tracking accuracy (HOTA) for multi-object tracking of pedestrian, 8208% (HOTA) for multi-object tracking of car, and 8277% (Moderate) for 2D object detection of Generic object detection and tracking are fundamental and challenging tasks in computer vision For 2D object detection, IMOU proposes an algorithm framework upon structural re-parameterization

Kitti Benchmark Object Tracking Papers With Code

Kitti Mots Benchmark Multi Object Tracking And Segmentation Papers
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