https://github.com/3bobo/smat
공식 코드Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
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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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
3D Siamese Transformer Network for Single Object Tracking on Point Clouds
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds
OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds
MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.