Statistics for topic 3d-object-detection

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

Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

YOLO 3D Object Detection for Autonomous Driving Vehicle

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

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

Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

An extension of Open3D to address 3D Machine Learning tasks

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

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

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

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

OpenAD: Open-World Autonomous Driving Benchmark for 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.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

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

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

[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.

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

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

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

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

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

Official codebase of HyDRa.

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

Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.