Fast-Poly

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Multi-Object TrackingonnuScenes
AMOTA· 2024-03-20
0.758
best: 0.763 (MCTrack)
SOTA
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking arXiv:2403.13443
Object TrackingonnuScenes
AMOTA· 2024-03-20
0.758
best: 0.763 (MCTrack)
SOTA
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking arXiv:2403.13443
3D Multi-Object TrackingonnuScenes
AMOTA· 2024-03-20
0.758
best: 0.763 (MCTrack)
SOTA
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking arXiv:2403.13443
Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
MOTA/L2
0.6306
best: 0.7466 (RobMOT)
Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
MOTA/L2
0.6306
best: 0.7466 (RobMOT)
3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
MOTA/L2
0.6306
best: 0.7466 (RobMOT)