2 papers
cs.CV2026
FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
Ming Hu, Yongsheng Huo, Mingyu Dou +6
Fine-grained anomaly detection is crucial in industrial and medical applications, but labeled anomalies are often scarce, making zero-shot detection challenging. While vision-langu…
cs.CV2024
KNN Transformer with Pyramid Prompts for Few-Shot Learning
Wenhao Li, Qiangchang Wang, Peng Zhao +1
Few-Shot Learning (FSL) aims to recognize new classes with limited labeled data. Recent studies have attempted to address the challenge of rare samples with textual prompts to modu…