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3D Object Detection From Stereo Images On 1

Metrics

AP75

Results

Performance results of various models on this benchmark

		Paper Title	Repository
DSGN++	67.37	DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
LIGA-Stereo	64.66	LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
CDN-DSGN	54.2	Wasserstein Distances for Stereo Disparity Estimation
CG-Stereo	53.58	Confidence Guided Stereo 3D Object Detection with Split Depth Estimation	-
DSGN	52.18	DSGN: Deep Stereo Geometry Network for 3D Object Detection
Disp R-CNN	45.78	Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Pseudo-LiDAR++	42.43	Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
YoLoStereo3D	41.25	YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
OC-Stereo	37.60	Object-Centric Stereo Matching for 3D Object Detection	-
Pseudo-LiDAR	34.05	Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Stereo R-CNN	30.23	Stereo R-CNN based 3D Object Detection for Autonomous Driving
TL-Net	4.37	Triangulation Learning Network: from Monocular to Stereo 3D Object Detection

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3D Object Detection From Stereo Images On 1 | SOTA | HyperAI