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Toronto-3D dataset and benchmarks · SOTA2 Research

Research Datasets

Toronto-3D

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Semantic segmentation

Toronto-3D

81.13Mean IoU (mIoU)

33

Semantic Segmentation

Toronto-3D (val section 2)

97.6OA

8

Point cloud downsampling

Toronto-3D target compression ratio ≈1%

590Retention Ratio

4

Popular tasks

Semantic segmentation Point cloud downsampling

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