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ModelNet dataset
The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object. -
3DeformRS: Certifying Spatial Deformations on Point Clouds
3D computer vision models are commonly used in security-critical applications such as autonomous driving and surgical robotics. Emerging concerns over the robustness of these... -
Semantic3D
A large-scale point cloud classification benchmark, focusing on semantic segmentation of urban scenes. -
ScanObjectNN
Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen... -
ModelNet40
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...