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Models/RobMOT

RobMOT

Reported on 18 benchmarks across 5 tasks · 1 paper · 12 SOTA

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

Computer Vision18 results

  • VideoonKITTI Test (Online Methods)
    HOTA· 2024-05-19
    81.76
    best: 81.8 (RobMOT (Dynamic))
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • VideoonKITTI Test (Online Methods)
    MOTA· 2024-05-19
    91.02
    best: 8629 (CasTrack)
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2024-05-19
    0.7772
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2024-05-19
    0.7466
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2024-05-19
    0.7772
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2024-05-19
    0.7466
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonKITTI Test (Online Methods)
    HOTA· 2024-05-19
    81.76
    best: 81.8 (RobMOT (Dynamic))
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonKITTI Test (Online Methods)
    MOTA· 2024-05-19
    91.02
    best: 8629 (CasTrack)
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2024-05-19
    0.7772
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2024-05-19
    0.7466
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multiple Object TrackingonKITTI Test (Online Methods)
    HOTA· 2024-05-19
    81.76
    best: 81.8 (RobMOT (Dynamic))
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multiple Object TrackingonKITTI Test (Online Methods)
    MOTA· 2024-05-19
    91.02
    best: 8629 (CasTrack)
    SOTA
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • VideoonKITTI Test (Online Methods)
    IDSW· 2024-05-19
    7
    best: 381 (C-TWiX)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2024-05-19
    0.0703
    best: 0.0905 (Trajectoryformer)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2024-05-19
    0.0703
    best: 0.0905 (Trajectoryformer)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Object TrackingonKITTI Test (Online Methods)
    IDSW· 2024-05-19
    7
    best: 381 (C-TWiX)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2024-05-19
    0.0703
    best: 0.0905 (Trajectoryformer)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536
  • Multiple Object TrackingonKITTI Test (Online Methods)
    IDSW· 2024-05-19
    7
    best: 381 (C-TWiX)
    RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudarXiv:2405.11536