13 datasets found

The LayoutNet dataset is a collection of 360-degree images of indoor scenes.

The SUNCG dataset is a large dataset of 3D indoor scenes with missing objects. The dataset is used to evaluate the performance of scene augmentation and context-based object...

Scannet: Richly-annotated 3D reconstructions of indoor scenes.

The 3DMatch [26] is a well-known indoor registration dataset of 62 scenes captured by RGBD sensor.

The NYU-Depth V2 dataset contains pairs of RGB and depth images collected from Microsoft Kinect in 464 indoor scenes.

The dataset used in the paper is ScanNetV2, a real-world dataset for indoor scenes. It contains 1205 training scenes and 312 testing scenes, with instance-level object bounding...

The dataset used in the Point2Pix paper, containing point clouds and camera parameters for indoor scenes.

The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.

The NTIRE2018-Dehazing challenge dataset contains indoor and outdoor hazy images.

The RESIDE dataset contains both synthesized and real-world hazy/clean image pairs of indoor and outdoor scenes.

Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

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...

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.