الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

6D Pose Estimation Using Rgb On Occlusion

المقاييس

Mean ADD

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Mean ADD	Paper Title	Repository
ROPE	45.95	Occlusion-Robust Object Pose Estimation with Holistic Representation
CullNet	24.48	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
E2E6DoF	47.4	End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints	-
DPOD	47.25	DPOD: 6D Pose Object Detector and Refiner
HybridPose	47.5	HybridPose: 6D Object Pose Estimation under Hybrid Representations
SegDriven	27	Segmentation-driven 6D Object Pose Estimation
PVNet	40.77	PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
RePOSE	51.6	RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
RNNPose (Trained with synthetic data and LINEMOD training set, w/o pbr data)	60.65	RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization	-
GDR-Net	56.1	GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
DeepIM (Train on Occlusion LineMOD)	55.5	DeepIM: Deep Iterative Matching for 6D Pose Estimation
PPC (Refined from initial PVNet pose)	55.33	Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors	-
SO-Pose	62.3	SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

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