3D Object Detection
3D object detection classifies the object category and estimates oriented 3D bounding boxes of physical objects from 3D sensor data.
( Image credit: AVOD )
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Greatest papers with code
Frustum PointNets for 3D Object Detection from RGB-D Data
CVPR 2018
• charlesq34/pointnet
• 
In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
CVPR 2018
• charlesq34/pointnet
•
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
3D OBJECT DETECTION AUTONOMOUS NAVIGATION FEATURE ENGINEERING OBJECT LOCALIZATION
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
CVPR 2019
• sshaoshuai/PointRCNN
• 
In this paper, we propose PointRCNN for 3D object detection from raw point cloud.
#2 best model for
3D Object Detection
on KITTI Cyclists Moderate
Deep Hough Voting for 3D Object Detection in Point Clouds
ICCV 2019
• facebookresearch/votenet
•
Current 3D object detection methods are heavily influenced by 2D detectors.
SOTA for 3D Object Detection on ScanNetV2
nuScenes: A multimodal dataset for autonomous driving
• traveller59/second.pytorch
•
Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar.
#2 best model for
3D Object Detection
on nuScenes
(using extra training data)
Joint 3D Proposal Generation and Object Detection from View Aggregation
• kujason/avod
•
We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.
#3 best model for
3D Object Detection
on KITTI Pedestrians Hard
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
• poodarchu/Class-balanced-Grouping-and-Sampling-for-Point-Cloud-3D-Object-Detection
•
This report presents our method which wins the nuScenes3D Detection Challenge [17] held in Workshop on Autonomous Driving(WAD, CVPR 2019).
SOTA for 3D Object Detection on nuScenes
Stereo R-CNN based 3D Object Detection for Autonomous Driving
CVPR 2019
• HKUST-Aerial-Robotics/Stereo-RCNN
•
Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect and associate object in left and right images.
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
CVPR 2019
• mileyan/pseudo_lidar
•
3D object detection is an essential task in autonomous driving.
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
ICCV 2017
• Microsoft/singleshotpose
•
We introduce a novel method for 3D object detection and pose estimation from color images only.
#10 best model for
6D Pose Estimation using RGB
on LineMOD