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Papers/BandRe: Rethinking Band-Pass Filters for Scale-Wise Object...

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

Yosuke Shinya

2023-07-21Real-Time Object Detectionobject-detectionObject DetectionSmall Object Detection
PaperPDFCode(official)

Abstract

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 .

Results

TaskDatasetMetricValueModel
Object DetectionSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
Object DetectionSOD4SB Public TestAP5073.1GFL + Test Time Augmentation
3DSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
3DSOD4SB Public TestAP5073.1GFL + Test Time Augmentation
Small Object DetectionSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
Small Object DetectionSOD4SB Public TestAP5073.1GFL + Test Time Augmentation
2D ClassificationSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
2D ClassificationSOD4SB Public TestAP5073.1GFL + Test Time Augmentation
2D Object DetectionSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
2D Object DetectionSOD4SB Public TestAP5073.1GFL + Test Time Augmentation
16kSOD4SB Private TestAP5023.7GFL + Test Time Augmentation
16kSOD4SB Public TestAP5073.1GFL + Test Time Augmentation

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