Review for NeurIPS paper: Hierarchical Neural Architecture Search for Deep Stereo Matching

Weaknesses: - The paper is not particularly novel or exciting since it takes algorithms already applied in the field of semantic segmentation and applies them to the stereo depth estimation problem. The idea of using AutoML for stereo is not particularly novel either, as stated by the authors themselves, even if the proposed algorithm outperforms the previous proposal. Unfortunately the authors did not spend much time commenting on these aspects. For example, what might be the biggest takeaways from the found architecture? The main differences with respect to the previously published work is the search performed also on the network level and the use of two separate feature and matching networks.