12 datasets found

The dataset used in this paper is an ICL-NUIM dataset, which contains images and depth maps.

The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

The datasets used for training and testing the proposed CoLA method.

Indoor segmentation and support inference from RGB-D images.

The SUN RGB-D dataset includes 10335 RGB-D captures. The dataset was captured from different RGB-D sensors including Asus Xtion, RealSense, Kinect v1 and Kinect v2. Following...

A dataset for indoor segmentation and support inference from RGB-D images.

A new multi-view RGB-D dataset for object instance detection and recognition of commonly encountered household objects in realistic settings.

Synthetic RGB-D dataset (SynROD) is used for testing the proposed approach in a synthetic-to-real adaptation scenario.

OCID [38] comprises of 96 cluttered scenes, using 89 object instances from ARID, as well as the YCB dataset [7].

HomebrewedDB (HB) is a scenes dataset [23] used for 6D pose estimation that features high-quality 3D-reconstructed models for a total of 33 instances.

ARID40k is a subset of a ARID [29], containing 6000 scenes rom 153 different object instances in 51 categories.

Washington RGB-D Objects dataset (ROD) is a well-established benchmark for object recognition tasks in RGB-D domains. It contains up to 41 877 views from 300 object instances,...