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

العربية

Point Cloud Registration On 3Dlomatch 10 30

المقاييس

Recall ( correspondence RMSE below 0.2)

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Recall ( correspondence RMSE below 0.2)	Paper Title	Repository
REGTR	64.8	REGTR: End-to-end Point Cloud Correspondences with Transformers
3DSN (reported in PREDATOR)	33	The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
PCAM (reported in REGTR)	54.9	PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
DGR (reported in REGTR)	48.7	Deep Global Registration
FCGF (reported in PREDATOR)	40.1	Fully Convolutional Geometric Features	-
D3Feat (reported in PREDATOR)	37.2	D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Predator-1k	62.5	PREDATOR: Registration of 3D Point Clouds with Low Overlap
OMNet (reported in REGTR)	8.4	OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
NgeNet	71.9	Leveraging Inlier Correspondences Proportion for Point Cloud Registration
GeoTransformer - P2PNet	74	Geometric Transformer for Fast and Robust Point Cloud Registration
Predator-5k	59.8	PREDATOR: Registration of 3D Point Clouds with Low Overlap
Predator-NR	24	PREDATOR: Registration of 3D Point Clouds with Low Overlap

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