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
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
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking0
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
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
SiamMo: Siamese Motion-Centric 3D Object TrackingCode0
Variational Voxel Pseudo Image TrackingCode0
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
Exploiting More Information in Sparse Point Cloud for 3D Single Object TrackingCode0
GSOT3D: Towards Generic 3D Single Object Tracking in the WildCode0
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