BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation
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Abstract (arXiv)
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 .
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 21 references that are in the map. First posted on arXiv 21 Jul 2023.
Builds on
12 of 21 references.
References · 12
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- 2016Feature Pyramid Networks for Object Detectioncited by 5,036
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- 2019Scale Match for Tiny Person Detectioncited by 61
- 2021USB: Universal-Scale Object Detection Benchmarkcited by 10
- 2023MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Resultscited by 8
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