Sejong creative semester system - 3D detection Paper Review
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Updated
Dec 27, 2023 - Python
Sejong creative semester system - 3D detection Paper Review
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Metric calculator toolkit for 3D detection and object occupancy detection.
PointPainting 笔记(代码已fix,可正常运行)
This is a novel average precision calculation named hybrid N-point interpolation method to eliminate the average precision distortion in KITTI 3D Object Detection Benchmark.
RoScenes large-scale multi-view 3d dataset. Please stay tuned.
Find ground breaking 3D point cloud analysis papers
Pytorch implementation for the paper: "DAGM-Mono: Deformable Attention-Guided Modeling for Monocular 3D Reconstruction"
Forked from AVOD & Add some new feature
3D Object Detection using Complex YOLOv4| LiDAR Dataset
list of papers, code, datasets and other resources
ROS packages for 3D detection and tracking.
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
Urban environment simulation in Unity3d. A model of sidewalk mobile robot is added with ROS integration. A synthetic data collection pipeline is available. Dynamic objects motion is provided with the help of NavMesh.
GRNet: Geometric Relation Network for 3D Object Detection from Point Clouds
[CoRL 2023] DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
[CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
[ICCV 2023] Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
PyTorch code reproduction of RadarNet (ECCV'20) for radar-based 3D object detection
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