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arXiv · 2609.27356

Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations

Kaixin Liu·Zhipeng Ye·Feng Jiang·Zhenghao Wang·Qihang Wu
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Abstract

A region can overlap a target object yet contribute more to another class. We test regions selected by Cluster-based Concept Importance (CCI) in frozen CLIP. Across COCO and VOC with two checkpoints, 41.08-64.78% of regions that pass overlap and mean-contrast checks fail against the strongest competing class. Removing competitors annotated in the image leaves 39.69-63.64% failing. We then test all eight candidate regions per image. An alternative passes the test for 6.25-7.84% of failures on COCO and 27.40-31.15% on VOC. Requiring it to preserve the original target-score drop within $ε= 0.02$ reduces these rates to 0.16-0.98%. Available regions and target-drop tolerance constrain repair; relaxing the tolerance increases repair opportunities.

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Kaixin Liu, Zhipeng Ye, Feng Jiang, Zhenghao Wang, Qihang Wu. 2026-09-23. Beyond Mean Foils: Auditing Worst-Foil Specificity in Frozen CLIP Region Explanations. https://arxiv.org/abs/2609.27356

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