3 datasets found

A convolutional neural network for optical flow estimation using pyramid, warping, and cost volume.

A novel motion estimation method that combines object-level representations and matching with a state of the art multi-scale DNN-based method.

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...