3D Object Detection From Stereo Images

5 papers with code • 1 benchmarks • 2 datasets

Image: You et al

Greatest papers with code

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.

3D Object Detection 3D Object Detection From Stereo Images

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.

 Ranked #1 on Stereo Depth Estimation on KITTI2015 (three pixel error metric)

3D Object Detection 3D Object Detection From Stereo Images +4

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.

3D Multi-Object Tracking 3D Object Detection From Stereo Images