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
FlowTrack: Point-level Flow Network for 3D Single Object Tracking—0
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking—0
Towards Category Unification of 3D Single Object Tracking on Point Clouds—0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
Robust 3D Tracking with Quality-Aware Shape Completion—0
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking—0
Correlation Pyramid Network for 3D Single Object Tracking—0
Modeling Continuous Motion for 3D Point Cloud Object Tracking—0
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors—0
Variational Voxel Pseudo Image TrackingCode0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds—0
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information—0
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds—0
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
Implicit and Efficient Point Cloud Completion 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
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking—0
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