12 datasets found

The dataset used for monocular depth estimation task

The dataset used for monocular depth estimation task

Real-time monocular dense mapping on aerial robots using visual-inertial fusion

Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?

The FreDSNet dataset is a dataset for joint monocular depth estimation and semantic segmentation from single equirectangular panoramas.

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

House Rooms dataset is a synthetic dataset for monocular depth estimation.

Unreal Engine dataset is a synthetic dataset for monocular depth estimation.

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

A method of data generation in simulation using 3D synthetic environments and CycleGAN domain transfer.

Self-supervised monocular depth estimation has gathered no-table interest since it can liberate training from dependency on depth annotations. In monocular video training case,...

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...