NeurIPS 2020

Unsupervised Learning of Object Landmarks via Self-Training Correspondence

Meta Review

This submission proposes an approach to unsupervised object landmark discovery. It initially received four reviews with mixed positive and negative scores (6,7,5,5). The rebuttal addressed some of the remaining concerns, which resulted in an increase in scores to (7,7,6,6). For these reasons, the AC's recommendation is to accept this submission for presentation as a poster, with a request for the authors to carefully revise the manuscript for the camera ready version to address the remaining concerns of the reviewers and improve the presentation clarity.