Hierarchical Neural Architecture Search for Deep Stereo Matching - Supplementary Materials

In this supplemental material, we briefly introduce three widely used stereo matching benchmarks, provide details of the separate-search ( 3.3 of the main manuscript) of the Feature Net and the Matching Net, and show more qualitative results of our method on various datasets and screenshots of benchmarks. KITTI 2012 and 2015 datasets These two datasets are both real-world datasets collected from a driving car. KITTI 2012 contains 194 training image pairs and 195 test image pairs. KITTI 2015 contains 200 stereo pairs for training and 200 for testing. The typical resolution of KITTI images is 376 1240. For KITTI 2012, the semi-dense ground truth disparity maps are generated by Velodyne HDL64E LiDARs, while for KITTI 2015, 3D CAD models for cars are manually inserted [1].