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

العربية

Semantic Segmentation On Semantic3D

المقاييس

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mIoU	Paper Title	Repository
SPG	73.2%	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
SegCloud	61.3%	SEGCloud: Semantic Segmentation of 3D Point Clouds	-
BAAF-Net	75.4%	Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
TMLC-MSR	54.2%	Fast semantic segmentation of 3d point clouds with strongly varying density	-
SnapNet_	59.1%	Unstructured point cloud semantic labelingusing deep segmentation networks
RandLA-Net	77.4%	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
shellnet_v2	69.3%	ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics	-
GACNet	70.8%	Graph Attention Convolution for Point Cloud Semantic Segmentation
3D-FCNN-TI	58.2%	SEGCloud: Semantic Segmentation of 3D Point Clouds	-
RFCR	77.8%	Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
SCF-Net	77.6%	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
RF_MSSF	62.7%	Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods	-
DeePr3SS	58.5%	Deep Projective 3D Semantic Segmentation
KPConv	74.6%	KPConv: Flexible and Deformable Convolution for Point Clouds
Feature Geometric Net	78.2%	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
MSDeepVoxNet	65.3%	Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
SPG	76.2%	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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Semantic Segmentation On Semantic3D | SOTA | HyperAI