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Models/CTRL_FSD_TTA

CTRL_FSD_TTA

Reported on 12 benchmarks across 3 tasks · 2 papers · 12 SOTA

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

Computer Vision12 results

  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2023-08-07
    0.0745
    best: 0.0905 (Trajectoryformer)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2023-08-07
    0.7735
    best: 0.7772 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2023-08-07
    0.7429
    best: 0.7466 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2023-08-07
    0.0745
    best: 0.0905 (Trajectoryformer)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2023-08-07
    0.7735
    best: 0.7772 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2023-08-07
    0.7429
    best: 0.7466 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    FP/L2· 2023-08-07
    0.0745
    best: 0.0905 (Trajectoryformer)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L1· 2023-08-07
    0.7735
    best: 0.7772 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2· 2023-08-07
    0.7429
    best: 0.7466 (RobMOT)
    SOTA
    FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsarXiv:2308.03755
  • Multi-Object TrackingonWaymo Open Dataset
    MOTA/L2· 2017-03-21
    0.7329
    best: 0.7505 (DetZero)
    SOTA
    Simple Online and Realtime Tracking with a Deep Association MetricarXiv:1703.07402
  • Object TrackingonWaymo Open Dataset
    MOTA/L2· 2017-03-21
    0.7329
    best: 0.7505 (DetZero)
    SOTA
    Simple Online and Realtime Tracking with a Deep Association MetricarXiv:1703.07402
  • 3D Multi-Object TrackingonWaymo Open Dataset
    MOTA/L2· 2017-03-21
    0.7329
    best: 0.7505 (DetZero)
    SOTA
    Simple Online and Realtime Tracking with a Deep Association MetricarXiv:1703.07402