Statistics for topic 3d-object-detection

OpenMMLab's next-generation platform for general 3D object detection.

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

OpenMMLab's next-generation platform for general 3D object detection.

OpenMMLab's next-generation platform for general 3D object detection.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

A lightweight tool for labeling 3D bounding boxes in point clouds.

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

A lightweight tool for labeling 3D bounding boxes in point clouds.

OpenMMLab's next-generation platform for general 3D object detection.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

An extension of Open3D to address 3D Machine Learning tasks

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

OpenMMLab's next-generation platform for general 3D object detection.

An extension of Open3D to address 3D Machine Learning tasks

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

Official codebase of HyDRa.

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2