Semantic Segmentation On Toronto 3D L002

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
EyeNet	81.13	Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene
RandLA-Net	74.3	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CLOUDSPAM	71.8	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo
DA-supervised	69.3	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo
PointNet++	56.5	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

0 of 5 row(s) selected.