10 datasets found

Groups: 3D Point Clouds Organizations: No Organization

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  • ModelNet40-C

    The dataset used in the paper is ModelNet40-C, which is a 3D point cloud dataset with various corruptions.

  • ModelNet40 and ModelNet40-C

    The dataset used in the paper is ModelNet40 and ModelNet40-C, which are 3D point cloud datasets.

  • ScanNet200

    Diff2Scene uses ScanNet, Matterport3D, ScanNet200 and Replica for open-vocabulary 3D semantic segmentation and visual grounding tasks.

  • 3D Point Clouds

    The dataset used in this paper is a collection of 3D point clouds.

  • Argoverse

    The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.

  • 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...

  • ShapeNetPart

    The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

  • 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.

  • KITTI dataset

    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...

  • 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...