3D Object Detection Edit Task

Computer Vision • Object Detection

132

papers with code

benchmarks

datasets

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2D object detection classifies the object category and estimates oriented 2D bounding boxes of physical objects from 3D sensor data.

( Image credit: AVOD )

Benchmarks

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DATASET	BEST METHOD	PAPER TITLE	COMPARE
KITTI Cars Moderate	PV-RCNN	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	See all
KITTI Cars Easy	SVGA-Net	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	See all
KITTI Cars Hard	PV-RCNN++	PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection	See all
KITTI Cyclists Easy	F-ConvNet	Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection	See all
KITTI Cyclists Moderate	SVGA-Net	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	See all
KITTI Cyclists Hard	PV-RCNN	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	See all
KITTI Pedestrians Moderate	SVGA-Net	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	See all
KITTI Cars Easy val	SA-SSD+EBM	Accurate 3D Object Detection using Energy-Based Models	See all
KITTI Cars Moderate val	SA-SSD+EBM	Accurate 3D Object Detection using Energy-Based Models	See all
ScanNetV2	GroupFree3D	Group-Free 3D Object Detection via Transformers	See all
SUN-RGBD val	GroupFree3D(Geo only)	Group-Free 3D Object Detection via Transformers	See all
KITTI Cars Hard val	PV-RCNN++	PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection	See all
KITTI Pedestrians Easy	IPOD	IPOD: Intensive Point-based Object Detector for Point Cloud	See all
KITTI Pedestrians Hard	SVGA-Net	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	See all
nuScenes	CenterPoint	Center-based 3D Object Detection and Tracking	See all
SUN-RGBD	ImVoteNet	ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes	See all
KITTI Pedestrian Easy val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
KITTI Pedestrian Moderate val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
KITTI Pedestrian Hard val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
KITTI Cyclist Easy val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
KITTI Cyclist Moderate val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
KITTI Cyclist Hard val	PVCNN	Point-Voxel CNN for Efficient 3D Deep Learning	See all
waymo all_ns	CenterPoint	Center-based 3D Object Detection and Tracking	See all
waymo cyclist	CenterPoint	Center-based 3D Object Detection and Tracking	See all
waymo pedestrian	CenterPoint	Center-based 3D Object Detection and Tracking	See all
NYU Depth v2	SGPN-CNN	SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation	See all
nuScenes-F	RRPN + R101 - F	RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles	See all
nuScenes-FB	RRPN + R101 - FB	RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles	See all
waymo vehicle	PV-RCNN	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	See all
KITTI Cyclists Moderate val	Deformable PV-RCNN	Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations	See all
KITTI Pedestrians Moderate val	Deformable PV-RCNN	Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations	See all
Argoverse	ky_nctu_mo		See all

Subtasks

Monocular 3D Object Detection

6 benchmarks

18 papers with code

Datasets

KITTI

See all 14 datasets

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.

Ranked #1 on Object Localization on KITTI Cyclists Moderate

3D OBJECT DETECTION OBJECT LOCALIZATION REGION PROPOSAL

3,160

Paper
Code

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.

Ranked #1 on Object Localization on KITTI Cars Easy

3D OBJECT DETECTION AUTONOMOUS NAVIGATION FEATURE ENGINEERING OBJECT LOCALIZATION REGION PROPOSAL

3,160

Paper
Code

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

CVPR 2020 • sshaoshuai/PointCloudDet3D •

We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.

Ranked #1 on 3D Object Detection on KITTI Cyclists Hard

3D OBJECT DETECTION

1,619

Paper
Code

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

8 Jul 2019 • sshaoshuai/PointCloudDet3D •

3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications.

3D OBJECT DETECTION SCENE UNDERSTANDING

1,619

Paper
Code

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

CVPR 2019 • sshaoshuai/PointCloudDet3D •

In this paper, we propose PointRCNN for 3D object detection from raw point cloud.

Ranked #2 on Object Detection on KITTI Cars Moderate

3D OBJECT DETECTION OBJECT PROPOSAL GENERATION

1,619

Paper
Code

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

31 Jan 2021 • open-mmlab/OpenPCDet •

Second, we propose a more advanced framework, PV-RCNN-v2, for more efficient and accurate 3D detection.

Ranked #1 on 3D Object Detection on KITTI Cars Hard val

3D OBJECT DETECTION

1,618

Paper
Code

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges

28 Aug 2020 • open-mmlab/OpenPCDet •

In this technical report, we present the top-performing LiDAR-only solutions for 3D detection, 3D tracking and domain adaptation three tracks in Waymo Open Dataset Challenges 2020.

3D OBJECT DETECTION DOMAIN ADAPTATION

1,618

Paper
Code