Papers with Code 아카이브
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/mumuqiao/mixcycle
공식 코드MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
https://github.com/opendr-eu/opendr
공식 코드VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
https://github.com/poodarchu/efg
공식 코드TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
https://github.com/roth-hex-lab/gbot
공식 코드GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance
https://github.com/shanjiayao/ptt
공식 코드PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
https://github.com/stiphyjay/pillartrack
공식 코드https://github.com/tianweiy/CenterPoint
공식 코드https://github.com/tsinghua-mars-lab/trackocc
공식 코드https://github.com/ucla-mobility/v2v4real
공식 코드V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
https://github.com/wenbowen123/BundleTrack
공식 코드BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
https://github.com/wenbowen123/catgrasp
공식 코드You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
https://github.com/wwsource/scenetracker
공식 코드https://github.com/xmm-prio/bevtrack
공식 코드BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
https://github.com/youngskkim/CRN
공식 코드CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
https://github.com/ywu0912/teamcode
공식 코드M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
https://gitlab.au.dk/maleci/opendr/opendr_internal
공식 코드VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
https://gitlab.au.dk/maleci/opendr/ua-ab3dmot
공식 코드Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
https://gitlab.au.dk/maleci/opendr/variational-voxel-3d-detetction
공식 코드https://gitlab.au.dk/maleci/opendr/vnn_vpit_opendr
공식 코드https://github.com/15526837635/CenterPoint
https://github.com/CarkusL/CenterPoint
https://github.com/Ghostish/BAT
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
https://github.com/PaddlePaddle/Paddle3D
https://github.com/SysCV/qd-3dt
https://github.com/abhigoku10/CenterPoint_PC
https://github.com/argoverse/argoverse-api
https://github.com/chowkamlee81/CentrePointNet
https://github.com/jinlong17/advgps
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
https://github.com/johnwlambert/argoverse_cbgs_kf_tracker
https://github.com/livox-sdk/livox_detection
https://github.com/mon95/centerpoint-maps
https://github.com/nvidia-ai-iot/lidar_ai_solution
https://github.com/open-mmlab/mmdetection3d
https://github.com/safetylab24/FusionCVCP
https://github.com/tianweiy/CenterPoint-KITTI
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.