5 datasets found

The dataset used in the paper is a 3D point cloud classification task, where the authors use the ModelNet40, ModelNet10, and ShapeNetPart datasets.

Semantic segmentation of large-scale point clouds.

Geometry Sharing Network (GS-Net) for 3D point cloud classification and segmentation

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...