3D Object Detection From Stereo Images

12 papers with code • 3 benchmarks • 4 datasets

Estimating oriented 3D bounding boxes from Stereo Cameras only.

Image: You et al

DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors

chenyilun95/dsgn2 6 Apr 2022

First, to effectively lift the 2D information to stereo volume, we propose depth-wise plane sweeping (DPS) that allows denser connections and extracts depth-guided features.

70
06 Apr 2022

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector

xy-guo/LIGA-Stereo ICCV 2021

Compared with the state-of-the-art stereo detector, our method has improved the 3D detection performance of cars, pedestrians, cyclists by 10. 44%, 5. 69%, 5. 97% mAP respectively on the official KITTI benchmark.

89
18 Aug 2021

YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Owen-Liuyuxuan/visualDet3D 17 Mar 2021

Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs.

356
17 Mar 2021

PLUMENet: Efficient 3D Object Detection from Stereo Images

meteorshowers/X-StereoLab 17 Jan 2021

In this paper we propose a model that unifies these two tasks and performs them in the same metric space.

656
17 Jan 2021

Wasserstein Distances for Stereo Disparity Estimation

Div99/W-Stereo-Disp NeurIPS 2020

Existing approaches to depth or disparity estimation output a distribution over a set of pre-defined discrete values.

103
06 Jul 2020

3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

mapeAAU/3D-ZeF CVPR 2020

In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF.

10
15 Jun 2020

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

zju3dv/disprcnn CVPR 2020

In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images.

211
07 Apr 2020

DSGN: Deep Stereo Geometry Network for 3D Object Detection

chenyilun95/DSGN CVPR 2020

Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors because there is a large performance gap between image-based and LiDAR-based methods.

318
10 Jan 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

mileyan/Pseudo_Lidar_V2 ICLR 2020

In this paper we provide substantial advances to the pseudo-LiDAR framework through improvements in stereo depth estimation.

583
14 Jun 2019

Triangulation Learning Network: from Monocular to Stereo 3D Object Detection

Zengyi-Qin/TLNet CVPR 2019

In this paper, we study the problem of 3D object detection from stereo images, in which the key challenge is how to effectively utilize stereo information.

108
04 Jun 2019