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3D Object Detection

20 papers with code · Computer Vision
Subtask of Object Detection

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

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Greatest papers with 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.

3D OBJECT DETECTION AUTONOMOUS NAVIGATION FEATURE ENGINEERING OBJECT LOCALIZATION

Joint 3D Proposal Generation and Object Detection from View Aggregation

6 Dec 2017kujason/avod

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.

3D OBJECT DETECTION AUTONOMOUS DRIVING

SBNet: Sparse Blocks Network for Fast Inference

CVPR 2018 uber/sbnet

Conventional deep convolutional neural networks (CNNs) apply convolution operators uniformly in space across all feature maps for hundreds of layers - this incurs a high computational cost for real-time applications.

3D OBJECT DETECTION OBJECT CLASSIFICATION SEMANTIC SEGMENTATION

Accurate Single Stage Detector Using Recurrent Rolling Convolution

CVPR 2017 xiaohaoChen/rrc_detection

In this paper, we proposed a novel single stage end-to-end trainable object detection network to overcome this limitation.

3D OBJECT DETECTION PEDESTRIAN DETECTION

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.

3D OBJECT DETECTION AUTONOMOUS DRIVING

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

16 Mar 2018AI-liu/Complex-YOLO

We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.

3D OBJECT DETECTION AUTONOMOUS DRIVING MOTION PLANNING