5 datasets found

A method of finding and classifying various components and objects in a design diagram, drawing, or planning layout is proposed.

The proposed rectified binary convolutional networks (RBCNs) are used to improve the performance of 1-bit DCNNs for mobile and AI chips based applications.

A large-scale point cloud classification benchmark, focusing on semantic segmentation of urban scenes.

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.

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...