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 31–40 of 67 papers

TitleStatusHype
3D Object Tracking with TransformerCode1
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark—0
BOTT: Box Only Transformer Tracker for 3D Object Tracking—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information—0
DGD: Dynamic 3D Gaussians Distillation—0
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
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Benchmark Results

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