Review for NeurIPS paper: Online Decision Based Visual Tracking via Reinforcement Learning

Additional Feedback: --------------- Post Rebuttal ------------------ Comments on the rebuttal: - The authors provide results of fusing existing SOTA trackers with the proposed switching strategy. On all datasets, results are marginally better than selecting the best of the two trackers (0.001 - 0.007 AUC/EAO). This improvement is rather minor, and difficult to put into context since other fusion methods are not compared. There are naive baselines for doing this, for example simply averaging the two bounding boxes. But exactly this topic has attracted substantial research interest over the years: MCCT, LCT, MEEM, [N.