BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation
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 .
PDF AbstractCode
MS COCO
SOD4SB
Results from the Paper
Ranked #2 on
Small Object Detection
on SOD4SB Public Test
(using extra training data)
