3D Object Detection From Stereo Images
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Benchmarks
Most implemented
Stereo R-CNN based 3D Object Detection for Autonomous Driving
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
PLUMENet: Efficient 3D Object Detection from Stereo Images
Papers
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Camera-based 3D object detectors are welcome due to their wider deployment and lower price than LiDAR sensors. We first revisit the prior stereo detector DSGN for its stereo volume construction ways for representing both…
3D geometry3D Object Detection3D Object Detection From Stereo Imagescross-modal alignment+1LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Stereo-based 3D detection aims at detecting 3D object bounding boxes from stereo images using intermediate depth maps or implicit 3D geometry representations, which provides a low-cost solution for 3D perception. However…
3D geometry3D Object Detection From Stereo ImagesStereo MatchingYOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
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. Nowadays, most of the best-performing frameworks for…
3D Object Detection3D Object Detection From Stereo ImagesDisparity EstimationGPU+4PLUMENet: Efficient 3D Object Detection from Stereo Images
3D object detection is a key component of many robotic applications such as self-driving vehicles. While many approaches rely on expensive 3D sensors such as LiDAR to produce accurate 3D estimates, methods that exploit s…
3D Object Detection3D Object Detection From Stereo ImagesDepth EstimationObject+2Wasserstein Distances for Stereo Disparity Estimation
Existing approaches to depth or disparity estimation output a distribution over a set of pre-defined discrete values. This leads to inaccurate results when the true depth or disparity does not match any of these values. …
3D Object Detection3D Object Detection From Stereo ImagesAutonomous DrivingDepth Estimation+63D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model organism used for studying neurological disord…
3D Multi-Object Tracking3D Object Detection From Stereo ImagesMulti-Object Tracking