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SOTA
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Semantic Segmentation On Toronto 3D L002
Semantic Segmentation On Toronto 3D L002
评估指标
mIoU
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mIoU
Paper Title
Repository
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
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Semantic Segmentation On Toronto 3D L002 | SOTA | HyperAI超神经