Paper ID: 2307.11748

BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation

Yosuke Shinya

Scale-wise evaluation of object detectors is important for real-world applications. However, existing metrics are either coarse or not sufficiently reliable. In this paper, we propose novel scale-wise metrics that strike a balance between fineness and reliability, using a filter bank consisting of triangular and trapezoidal band-pass filters. We conduct experiments with two methods on two datasets and show that the proposed metrics can highlight the differences between the methods and between the datasets. Code is available at https://github.com/shinya7y/UniverseNet .

Submitted: Jul 21, 2023