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3D Object Tracking
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3D Object Tracking is a computer vision task dedicated to monitoring and precisely locating objects as they navigate within a three-dimensional environment. It frequently utilizes 3D object detection techniques to pinpoint the objects and establish unique identifications that persist across multiple frames.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/3bobo/smat
공식 코드Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
https://github.com/DLR-RM/3DObjectTracking/tree/master/Mb-ICG
공식 코드A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures
https://github.com/DLR-RM/3DObjectTracking/tree/master/SRT3D
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/HaozheQi/P2B
공식 코드P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
https://github.com/JimmyCai91/DLT
공식 코드Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
https://github.com/NVlabs/BundleSDF
공식 코드BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
https://github.com/NVlabs/FoundationStereo
공식 코드FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
https://github.com/SilvioGiancola/ShapeCompletion3DTracking
공식 코드https://github.com/StiphyJay/MVCTrack
공식 코드MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
https://github.com/ailovejinx/gsot3d
공식 코드GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
https://github.com/air-thu/dair-rcooper
공식 코드RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
https://github.com/argoai/argoverse-api
공식 코드https://github.com/aron-lin/seqtrack3d
공식 코드SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
https://github.com/augcog/dttd2
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/augcog/dttdv1
공식 코드https://github.com/augcog/robust-digital-twin-tracking
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/cvbubbles/nonlocal-3dtracking
공식 코드Large-displacement 3D Object Tracking with Hybrid Non-local Optimization
https://github.com/dlr-rm/3dobjecttracking
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/fpthink/stnet
공식 코드3D Siamese Transformer Network for Single Object Tracking on Point Clouds
https://github.com/fpthink/v2b
공식 코드https://github.com/ghostish/open3dsot
공식 코드Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
https://github.com/google-research-datasets/Objectron
공식 코드Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
https://github.com/haooozi/P2P
공식 코드P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
https://github.com/haooozi/glt-t
공식 코드GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds
https://github.com/haooozi/osp2b
공식 코드OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
https://github.com/hdu-vrlab/siammo
공식 코드https://github.com/jasonkks/pttr
공식 코드PTTR: Relational 3D Point Cloud Object Tracking with Transformer
https://github.com/jimmy-dq/dmt
공식 코드A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds
https://github.com/kuanchihhuang/moma-m3t
공식 코드Delving into Motion-Aware Matching for Monocular 3D Object Tracking
https://github.com/larsbredereke/object_tracking
공식 코드https://github.com/leozhiheng/mmf-tracker
공식 코드MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
https://github.com/leozhiheng/mtm-tracker
공식 코드Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
https://github.com/liangp/mcstn-3dsot
공식 코드Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
https://github.com/liujia99/M3SOT
공식 코드M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
https://github.com/lvsn/rgbde_tracking
공식 코드RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.