SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching

1 code implementation • 25 May 2021 • Hongzhi Du, Yanyan Li, Yanbiao Sun, Jigui Zhu, Federico Tombari

The cost aggregation strategy shows a crucial role 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.

Stereo Matching