Point Cloud Segmentation - Groups

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Clou...

3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the...

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RandLA-Net

Semantic segmentation of large-scale point clouds.

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PointSegDA

The PointSegDA dataset is a benchmark dataset for point cloud segmentation.

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Synthia

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmen...

LiDAR point-cloud segmentation is an important problem for many applications. For large-scale point cloud segmentation, the de facto method is to project a 3D point cloud to get...

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S3DIS

The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.

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