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

العربية

Lidar Semantic Segmentation On Paris Lille 3D

المقاييس

mIOU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mIOU	Paper Title	Repository
ConvPoint	0.759	ConvPoint: Continuous Convolutions for Point Cloud Processing	-
GeomGCNN	0.785	Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks	-
Feature Geometric Net (FG Net)	0.819	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling	-
Paris-Lille-3D	0.31	Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification	-
ConvPoint_Keras	0.720	ConvPoint: Continuous Convolutions for Point Cloud Processing	-
FKAConv	0.827	FKAConv: Feature-Kernel Alignment for Point Cloud Convolution	-
DA-supervised	0.638	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo
KPConv deform	0.759	KPConv: Flexible and Deformable Convolution for Point Clouds	-
CLOUDSPAM	0.738	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo

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