SOTAVerified

3D Object Tracking

3D Object Tracking is a computer vision task dedicated to monitoring and precisely locating objects as they navigate within a three-dimensional environment. It frequently utilizes 3D object detection techniques to pinpoint the objects and establish unique identifications that persist across multiple frames.

Papers

Showing 3140 of 67 papers

TitleStatusHype
3D Object Tracking with TransformerCode1
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation0
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark0
BOTT: Box Only Transformer Tracker for 3D Object Tracking0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information0
DGD: Dynamic 3D Gaussians Distillation0
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Benson-RAVG-RANK99,999Unverified
2pyDort_v1_rnet18_cv_cv_pedestrian_incAVG-RANK99,999Unverified
3kevinsagen47AVG-RANK99,999Unverified
4test_1AVG-RANK99,999Unverified
5yk_yuanAVG-RANK99,999Unverified
6maxage15-minhits5-conf0.3-thr0.01AVG-RANK99,999Unverified
7kitty cov id = 1AVG-RANK99,999Unverified
8EdwardAVG-RANK99,999Unverified
9submit1AVG-RANK99,999Unverified
10submit02AVG-RANK99,999Unverified
#ModelMetricClaimedVerifiedStatus
1Mb-ICGADDS AUC91.1Unverified