VD-DeepStack: Bridging Visual Comparison and Language Reasoning for Few-Shot Anomaly Detection
Few-shot visual anomaly detection is fundamentally a visual comparison task, requiring fine-grained inspection of a query against normal references. Many recent methods based on large vision-language models (LVLMs) emphasize comparative reasoning through language chain-of-thought. Yet discrete, abstract descriptions ma...