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Multiple Object Tracking
Multiple Object Tracking On Kitti Test Online
Multiple Object Tracking On Kitti Test Online
Metrics
HOTA
IDSW
MOTA
Results
Performance results of various models on this benchmark
Columns
Model Name
HOTA
IDSW
MOTA
Paper Title
Repository
IMM-JHSE
79.21
177
89.8
One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
EagerMOT
74.39
239
87.82
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
mmMOT
62.05
-
84.77
Robust Multi-Modality Multi-Object Tracking
KFDL
81.06
22
90.29
-
-
LEGO
80.75
214
90.61
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
-
NOMT
-
-
78.15
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
-
QD-3DT
72.77
-
86.41
Monocular Quasi-Dense 3D Object Tracking
PMBM
-
-
80.39
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
-
JRMOT
69.61
-
85.70
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
mmMOT-normal
-
-
84.77
Robust Multi-Modality Multi-Object Tracking
CenterTrack
73.02
-
89.44
Tracking Objects as Points
MDP
-
-
76.59
Learning to Track: Online Multi-Object Tracking by Decision Making
-
CIWT
-
-
75.39
Combined Image- and World-Space Tracking in Traffic Scenes
-
MCTrack
81.07
64
89.82
MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
UCMCTrack
77.1
-
90.4
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
NOMT-HM
-
-
75.20
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
-
PC-TCNN
80.90
37
78.46
-
-
SRK ODESA
-
-
90.03
Learning Local Feature Descriptors for Multiple Object Tracking
-
SCEA
-
-
75.58
Online Multi-Object Tracking via Structural Constraint Event Aggregation
-
DSM
-
-
76.15
End-to-end Learning of Multi-sensor 3D Tracking by Detection
-
0 of 33 row(s) selected.
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