Article

CCS: A Continuous Spatial-Semantic Concordance Score for Robust Evaluation of Object Detection Models

2026-07-31

Abstract excerpt

<title>Abstract</title> <p>Standard object detection evaluation relies on hard-threshold metrics (mAP, F1) at a fixed IoU threshold. Their binary nature produces unstable rankings, penalizes near-correct detections as harshly as complete misses, and ignores semantic label relationships. We propose CCS, a Continuous Spatial-Semantic Concordance Score with two complementary terms: (i) C sp models bounding boxes as...

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Literature Corpus work: a3abfb2b-f6a3-51c5-a6d0-eb136fd635cd
DOI: 10.21203/rs.3.rs-10531409/v1

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