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3D Object Detection

78 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.

( Image credit: AVOD )

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Greatest papers with code

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 REGION PROPOSAL

Deep Learning for 3D Point Clouds: A Survey

27 Dec 2019QingyongHu/SoTA-Point-Cloud

To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.

3D OBJECT DETECTION 3D SHAPE CLASSIFICATION AUTONOMOUS DRIVING

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

16 Mar 2018maudzung/Complex-YOLOv4-Pytorch

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 REGION PROPOSAL

Joint Monocular 3D Vehicle Detection and Tracking

ICCV 2019 ucbdrive/3d-vehicle-tracking

The framework can not only associate detections of vehicles in motion over time, but also estimate their complete 3D bounding box information from a sequence of 2D images captured on a moving platform.

3D OBJECT DETECTION 3D POSE ESTIMATION AUTONOMOUS VEHICLES MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING TRAJECTORY PREDICTION

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

CubeSLAM: Monocular 3D Object SLAM

1 Jun 2018shichaoy/cube_slam

Objects can provide long-range geometric and scale constraints to improve camera pose estimation and reduce monocular drift.

3D OBJECT DETECTION POSE ESTIMATION

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