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SOTA
Semantische Segmentierung
Semantic Segmentation On Toronto 3D L002
Semantic Segmentation On Toronto 3D L002
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mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mIoU
Paper Title
Repository
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
RandLA-Net
74.3
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
EyeNet
81.13
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene
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