TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization
CLIP is a powerful vision-language model, but it was not designed for fine-grained defect localization; CLIP-based anomaly detectors therefore adapt it with prompts or lightweight modules to increase defect sensitivity. We show that stronger sensitivity does not necessarily make local evidence reliable: under domain sh...
Jinyoung Kim, Geonho Kim, Gijeong Park et al.
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