NeurIPS 2020

Learning to Detect Objects with a 1 Megapixel Event Camera

Meta Review

This paper introduces dataset and benchmark for object detection in high-resolution event cameras. Reviews praise novelty of the problem, the dataset, the baseline architecture, and thoroughness of experimental results. Weaknesses are the that the baseline is mostly composed of off-the-shelf parts and some minor points which were mostly addressed in the rebuttal. The final reviews are unanimously positive, so this looks like a clear accept.