5 datasets found

Semantic segmentation and 3D detection tasks on PartNet and ScanNet datasets

The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes.

The dataset used for 6D object pose estimation, consisting of images of 16 objects with varying levels of occlusion.

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...