SOTAVerified

3D Single Object Tracking

3D tracking of a single object, based on an initial 3D bounding box, provided to the tracker. 3D single object tracking is commonly performed using point cloud data from Lidars, as it provides valuable depth information, which is lost in camera images. However, irregular point cloud structure and an increasing point sparsity with distance makes Lidar-based 3D single object tracking a nontrivial task.

Papers

Showing 2643 of 43 papers

TitleStatusHype
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds0
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking0
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud0
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds0
VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking0
Correlation Pyramid Network for 3D Single Object Tracking0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information0
FlowTrack: Point-level Flow Network for 3D Single Object Tracking0
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking0
Towards Category Unification of 3D Single Object Tracking on Point Clouds0
3D Single-object Tracking in Point Clouds with High Temporal Variation0
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking0
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors0
Robust 3D Tracking with Quality-Aware Shape Completion0
Modeling Continuous Motion for 3D Point Cloud Object Tracking0
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions0
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking0
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