LoFT-CLIP: Few-shot anomaly detection for railway fasteners based on large vision-language models

Pattern Recognition 2026

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Authors: Bo Tang, Zhanwei Yang, Dechen Yao, Buyao Yang, Longting Chen, Ran Bi, Yongxing Zhao, Jingsong Xie, Zhibin Guo

DOI: 10.1016/j.patcog.2026.114099

Cited by: 3

References: 27

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Advanced Neural Network Applications Infrastructure Maintenance and Monitoring

References 27