SOTAVerified

3D Multi-Object Tracking

Image: Weng et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 101 papers

TitleStatusHype
SpaRC: Sparse Radar-Camera Fusion for 3D Object DetectionCode0
CrossTracker: Robust Multi-modal 3D Multi-Object Tracking via Cross Correction—0
3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter—0
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking—0
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous DrivingCode0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
YOLOO: You Only Learn from Others Once—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction—0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
Inverse Neural Rendering for Explainable Multi-Object Tracking—0
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving—0
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual VoxelsCode0
Object Re-Identification from Point Clouds—0
ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection BoxCode0
End-to-end 3D Tracking with Decoupled Queries—0
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion—0
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking—0
InterTrack: Interaction Transformer for 3D Multi-Object Tracking—0
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?—0
SpOT: Spatiotemporal Modeling for 3D Object Tracking—0
3D Multi-Object Tracking with Differentiable Pose Estimation—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention—0
DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking—0
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
A two-stage data association approach for 3D Multi-object Tracking—0
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences—0
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association—0
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking—0
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Graph Neural Networks for 3D Multi-Object Tracking—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
Factor Graph based 3D Multi-Object Tracking in Point Clouds—0
1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling—0
3D Multi-Object Tracking: A Baseline and New Evaluation MetricsCode0
FANTrack: 3D Multi-Object Tracking with Feature Association NetworkCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MCTrackAMOTA0.76—Unverified
2Fast-PolyAMOTA0.76—Unverified
3Poly-MOTAMOTA0.75—Unverified
4CAMO-MOTAMOTA0.75—Unverified
5BEVFusion + AppearanceTrackerAMOTA0.74—Unverified
6MSMDFusion-baseAMOTA0.74—Unverified
7YH-DEEPAMOTA0.73—Unverified
8GTFSAMOTA0.73—Unverified
9TransFusionAMOTA0.72—Unverified
10MixFusionAMOTA0.72—Unverified
#ModelMetricClaimedVerifiedStatus
1RobMOTMOTA/L20.75—Unverified
2CTRL_FSD_TTAMOTA/L20.74—Unverified
3DRTrackerMOTA/L20.67—Unverified
4TrajectoryformerMOTA/L20.66—Unverified
5InceptioLidarMOTA/L20.66—Unverified
6HorizonMOT3DMOTA/L20.64—Unverified
7CasTrackMOTA/L20.64—Unverified
8MFMS_TrackMOTA/L20.63—Unverified
9Fast-PolyMOTA/L20.63—Unverified
10OptMOTMOTA/L20.62—Unverified
#ModelMetricClaimedVerifiedStatus
1SpaRCAMOTA0.63—Unverified
2HyDRaAMOTA0.58—Unverified
3CRNAMOTA0.57—Unverified
4CR3DTAMOTA0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1DetZeroMOTA/L20.75—Unverified
2MCTrackMOTA/L20.73—Unverified
3CTRL_FSD_TTAMOTA/L20.73—Unverified
#ModelMetricClaimedVerifiedStatus
1StreamPETR-LargeAMOTA65.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNeXtAMOTA71—Unverified