HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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HyperAI초신경

3D Object Detection From Stereo Images On 1

평가 지표

AP75

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AP75	Paper Title	Repository
YoLoStereo3D	41.25	YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Pseudo-LiDAR++	42.43	Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
DSGN++	67.37	DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
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
CDN-DSGN	54.2	Wasserstein Distances for Stereo Disparity Estimation
TL-Net	4.37	Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
OC-Stereo	37.60	Object-Centric Stereo Matching for 3D Object Detection	-
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
CG-Stereo	53.58	Confidence Guided Stereo 3D Object Detection with Split Depth Estimation	-
LIGA-Stereo	64.66	LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector

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