VCF-CLIP: Visual Context-Driven Fine-Grained Prompt Learning for Zero-Shot Anomaly Detection
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Benefiting from recent advances in vision-language models (VLMs), numerous CLIP-based zero-shot anomaly detection (ZSAD) methods have been proposed to address the cold-start problem. Despite their impressive performance, these methods still depend on manual pr... ...
