4 datasets found

A dataset for estimating measurements received over a network, using a deep neural network based approximation architecture.

The dataset used in the paper is a multivariate Nakagami-m distribution.

The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

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...