6 datasets found

Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset.

Scenenet RGB-D: 5M photorealistic images of synthetic indoor trajectories with ground truth

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...

The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

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 in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.