Disparity Distribution Equalization: An Effective Data Enhancement for Stereo Matching

With the continuous development of convolutional neural networks(CNN), stereo matching algorithms have made great achievements. However, existing studies mainly focus on network model structure, ignoring the dataset itself and related data augmentations. In this paper, we focus on the impact of the inhomogeneity of dataset disparity distribution in the field of binocular depth estimation. We perfo...