Review for NeurIPS paper: Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement

Weaknesses: - The paper is missing a literature review / related work section. While previous works are cited, and authors compare their results w.r.t. Previous works in the literature (many of which are cited in this paper) have already addressed the problems that this paper aims at solving, namely 1) leveraging information from past frames in the video to make predictions in the current frame, and 2) proposed refinement modules for VOS. Although many of these works are indeed cited, authors do not explicitly mention the relationship between those works and their method, in terms of how they addressed the issues that their approach is trying to solve, and how do their contributions compare to the components of existing approaches designed specifically to address these problems. Although this paper's results are better than those reported in previous works, the scientific contributions are ultimately what matters to the community to build on top of in order to make consistent and grounded progress.