HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

3D Semantic Segmentation On Toronto 3D

评估指标

OA

mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称	OA	mIoU	Paper Title	Repository
PointNet++	91.21	56.55	Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
KPFCNN	91.71	60.30	Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
TGNet	91.64	58.34	Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
RandLANet	93.50	68.40	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
DGCNN	89.00	49.60	Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
MS-PCNN	91.53	58.01	Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
SCF-Net	95.50	73.60	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation	-

0 of 7 row(s) selected.