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Found 2 papers, 2 papers with code
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
On top of the proposed AnoCLIP, we further introduce a test-time adaptation (TTA) mechanism to refine visual anomaly localization results, where we optimize a lightweight adapter in the visual encoder using AnoCLIP's pseudo-labels and noise-corrupted tokens.
BMAD: Benchmarks for Medical Anomaly Detection
However, there is a lack of a universal and fair benchmark for evaluating AD methods on medical images, which hinders the development of more generalized and robust AD methods in this specific domain.
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