ScanNet200
Introduced by Rozenberszki et al. in Language-Grounded Indoor 3D Semantic Segmentation in the Wild
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene understanding benchmarks. The source of scene data is identical to ScanNet, but parses a larger vocabulary for semantic and instance segmentation
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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ScanNet200
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PTv3 + PPT
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ScanNet200
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Mask3D
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ScanNet200
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Open3DIS
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Papers
| Paper | Code | Results | Date | Stars |
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