19 datasets found

Groups: 3D Object Recognition Organizations: No Organization

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  • MPI3D dataset

    The dataset used in the paper is a MPI3D dataset, which contains 3D images of objects with varying sizes and colors.

  • CO3D

    The dataset used for evaluating latent-space interpolation algorithms for variational autoencoders.

  • NYUv2 dataset

    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.

  • YCB-Video dataset

    The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments.

  • Occlusion LineMOD

    The dataset used in the paper for 6Dof object pose estimation using RGB-D images.

  • FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

    A Full Flow Bidirectional Fusion Network for 6D Pose Estimation from a single RGBD image

  • Custom Dataset

    The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

  • Shapenet

    Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

  • 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...

  • Pix3D

    The Pix3D dataset is a collection of 3D models with RGB images, used for training and testing 3D object recognition and generation tasks.

  • ModelNet10

    3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,...

  • YCB-Video

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

  • 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.

  • SUN RGB-D

    RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained...

  • 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.

  • ShapeNetCore

    The ShapeNetCore dataset is a large-scale 3D model dataset, containing 44,000 3D models and 13 categories.

  • 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...