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 26–43 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 Clouds—0
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking—0
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud—0
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds—0
VoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking—0
Correlation Pyramid Network for 3D Single Object Tracking—0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information—0
FlowTrack: Point-level Flow Network for 3D Single Object Tracking—0
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking—0
Towards Category Unification of 3D Single Object Tracking on Point Clouds—0
3D Single-object Tracking in Point Clouds with High Temporal Variation—0
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking—0
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors—0
Robust 3D Tracking with Quality-Aware Shape Completion—0
Modeling Continuous Motion for 3D Point Cloud Object Tracking—0
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions—0
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking—0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.