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Vehicle Pose Estimation
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Image Credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision, ECCV'20
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
A Graph-Based Approach for Category-Agnostic Pose Estimation
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDAR
Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior
A Novel Approach to Vehicle Pose Estimation using Automotive Radar
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
Exploring intermediate representation for monocular vehicle pose estimation
Reinforced Axial Refinement Network for Monocular 3D Object Detection
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
Kinematic 3D Object Detection in Monocular Video
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Low-cost LIDAR based Vehicle Pose Estimation and Tracking
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance
3D Bounding Box Estimation Using Deep Learning and Geometry
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
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