HyperAI

3D Multi Object Tracking On Nuscenes

Metrics

AMOTA

Results

Performance results of various models on this benchmark

Comparison Table
Model NameAMOTA
Model 10.58
Model 20.43
Model 30.56
Model 40.34
Model 50.66
Model 60.57
Model 70.68
Model 80.69
Model 90.07
Model 100.66
Model 110.65
Model 120.06
center-based-3d-object-detection-and-tracking0.64
Model 140.68
Model 150.63
Model 160.55
Model 170.34
Model 180.7
Model 190.27
Model 200.38
Model 210.65
crn-camera-radar-net-for-accurate-robust0.569
offline-tracking-with-object-permanence0.671
Model 240.69
Model 250.62
Model 260.73
Model 270.12
Model 280.37
unleashing-hydra-hybrid-fusion-depth0.584
Model 300.05
Model 310.64
Model 320.27
Model 330.26
Model 340.52
Model 350.23
Model 360.22
Model 370.46
Model 380.7
Model 390.740
Model 400.05
Model 410.69
Model 420.71
Model 430.69
Model 440.68
Model 450.68
Model 460.73
Model 470.7
Model 480.66
Model 490.68
Model 500.23
Model 510.48
Model 520.67
mctrack-a-unified-3d-multi-object-tracking0.763
Model 540.68
Model 550.27
Model 560.18
Model 570.27
eagermot-3d-multi-object-tracking-via-sensor0.68
Model 590.68
Model 600.21
Model 610.65
Model 620.55
Model 630.72
Model 640.68
Model 650.02
Model 660.753
Model 670.55
Model 680.55
simpletrack-understanding-and-rethinking-3d0.67
Model 700.54
Model 710.66
Model 720.24
Model 730.37
Model 740.6
Model 750.741
Model 760.07
Model 770.56
Model 780.2
Model 790.52
Model 800.71
Model 810.67
Model 820.03
Model 830.55
Model 840.55
Model 850.43
Model 860.43
Model 870.58
fast-poly-a-fast-polyhedral-framework-for-3d0.758
Model 890.72
Model 900.56
Model 910.56
Model 920.65
Model 930.66
Model 940.04
Model 950.67
Model 960.68
Model 970.43
Model 980.67
deft-detection-embeddings-for-tracking0.18
Model 1000.754
Model 1010.18
Model 1020.66
Model 1030.63
Model 1040.26
Model 1050.55
Model 1060.68
Model 1070.4
Model 1080.69
Model 1090.62
Model 1100.61
Model 1110.28
Model 1120.7
Model 1130.49
Model 1140.41
eagermot-3d-multi-object-tracking-via-sensor0.66