Hongzhi Du

SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching

The cost aggregation strategy shows a crucialrole in learning-based stereo matching tasks, where 3D convolutional filters obtain state of the art but require intensive computation resources, while 2D operations need less GPU memory but are sensitive to domain shift. In this letter, we decouple the 4