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Models/AB3DMOT

AB3DMOT

Reported on 8 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Computer Vision6 results

VideoonKITTI Test (Online Methods)
HOTA· 2019-07-09
69.99
best: 81.8 (RobMOT (Dynamic))
SOTA
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
Object TrackingonKITTI Test (Online Methods)
HOTA· 2019-07-09
69.99
best: 81.8 (RobMOT (Dynamic))
SOTA
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
Multiple Object TrackingonKITTI Test (Online Methods)
HOTA· 2019-07-09
69.99
best: 81.8 (RobMOT (Dynamic))
SOTA
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
VideoonKITTI Test (Online Methods)
MOTA· 2019-07-09
83.84
best: 8629 (CasTrack)
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
Object TrackingonKITTI Test (Online Methods)
MOTA· 2019-07-09
83.84
best: 8629 (CasTrack)
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
Multiple Object TrackingonKITTI Test (Online Methods)
MOTA· 2019-07-09
83.84
best: 8629 (CasTrack)
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961

Robots2 results

Autonomous VehiclesonnuScenes validation set
AMOTA· 2019-07-09
9.1
best: 77.9 (BEVFusion + Tracking)
SOTA
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961
Autonomous DrivingonnuScenes validation set
AMOTA· 2019-07-09
9.1
best: 77.9 (BEVFusion + Tracking)
SOTA
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics arXiv:1907.03961