Trending repositories for topic 3d-object-detection

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

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

Paper reading notes on Deep Learning and Machine Learning

An SDK for multi-agent collaborative perception.

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[ICCV 2023] OccNet: Scene as Occupancy

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

An extension of Open3D to address 3D Machine Learning tasks

An SDK for multi-agent collaborative perception.

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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

Paper reading notes on Deep Learning and Machine Learning

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

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[ICCV 2023] OccNet: Scene as Occupancy

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

An extension of Open3D to address 3D Machine Learning tasks

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

An extension of Open3D to address 3D Machine Learning tasks

Paper reading notes on Deep Learning and Machine Learning

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

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

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

An SDK for multi-agent collaborative perception.

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

Ultralytics YOLOv8 and YOLOv9 for ROS 2

3D detection and tracking viewer (visualization) for kitti & waymo dataset

[ICCV 2023] OccNet: Scene as Occupancy

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...

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

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

YOLO 3D Object Detection for Autonomous Driving Vehicle

Virtual Sparse Convolution for Multimodal 3D Object Detection

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

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

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

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

An SDK for multi-agent collaborative perception.

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

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

Ultralytics YOLOv8 and YOLOv9 for ROS 2

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Paper reading notes on Deep Learning and Machine Learning

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

3D detection and tracking viewer (visualization) for kitti & waymo dataset

YOLO 3D Object Detection for Autonomous Driving Vehicle

An extension of Open3D to address 3D Machine Learning tasks

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ICCV 2023] OccNet: Scene as Occupancy

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

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

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...

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

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

Ultralytics YOLOv8 and YOLOv9 for ROS 2

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

Paper reading notes on Deep Learning and Machine Learning

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

[ICCV 2023] OccNet: Scene as Occupancy

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

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

World's first general purpose 3D object detection codebse.

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

Ultralytics YOLOv8 and YOLOv9 for ROS 2

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

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 "

Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920

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

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

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

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

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection [NeurIPS2023]

TUM Traffic Dataset Development Kit

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

mmdetection3d 代码重点注解笔记

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection

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

Transformation-Equivariant 3D Object Detection for Autonomous Driving

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

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

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

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

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

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

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

TUM Traffic Dataset Development Kit

Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920

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

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 "

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

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

An extension of Open3D to address 3D Machine Learning tasks

[ICCV 2023] OccNet: Scene as Occupancy

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

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

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Paper reading notes on Deep Learning and Machine Learning

Ultralytics YOLOv8 and YOLOv9 for ROS 2

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

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

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks [IJCV2023]

[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Ultralytics YOLOv8 and YOLOv9 for ROS 2

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

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

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

[ICCV 2023] OccNet: Scene as Occupancy

[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

YOLO 3D Object Detection for Autonomous Driving Vehicle

mmdetection3d 代码重点注解笔记

Virtual Sparse Convolution for Multimodal 3D Object Detection

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection

aiMotive public dataset

Transformation-Equivariant 3D Object Detection for Autonomous Driving