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Multiple Object Tracking On Kitti Test Online

Metrics

HOTA
IDSW
MOTA

Results

Performance results of various models on this benchmark

Paper Title
RobMOT81.76791.02RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
LEGO80.7521490.61LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
UCMCTrack77.1-90.4UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
OC-SORT76.525090.3Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
KFDL81.062290.29-
SRK ODESA--90.03Learning Local Feature Descriptors for Multiple Object Tracking
MCTrack81.076489.82MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
IMM-JHSE79.2117789.8One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
C-TWiX77.5838189.68Learning Data Association for Multi-Object Tracking using Only Coordinates
CenterTrack73.02-89.44Tracking Objects as Points
VirConvTrack79.920189.1Virtual Sparse Convolution for Multimodal 3D Object Detection
DEFT74.23 -88.95DEFT: Detection Embeddings for Tracking
EagerMOT74.3923987.82EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
QD-3DT72.77 -86.41Monocular Quasi-Dense 3D Object Tracking
CasTrack77.318486,29-
JRMOT69.61 -85.70JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
MOSTFusion--84.83MOTS: Multi-Object Tracking and Segmentation
mmMOT62.05-84.77Robust Multi-Modality Multi-Object Tracking
mmMOT-normal--84.77Robust Multi-Modality Multi-Object Tracking
3DT--84.52Joint Monocular 3D Vehicle Detection and Tracking
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Multiple Object Tracking On Kitti Test Online | SOTA | HyperAI