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 2130 of 43 papers

TitleStatusHype
OSP2B: One-Stage Point-to-Box Network for 3D Siamese TrackingCode1
GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking LossCode1
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle ConsistencyCode1
Modeling Continuous Motion for 3D Point Cloud Object Tracking0
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors0
Variational Voxel Pseudo Image TrackingCode0
Object Preserving Siamese Network for Single Object Tracking on Point Clouds0
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point CloudsCode1
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.