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Jiahao Dong

2 accepted papers

2025

A Scale-Adaptive and Background-Robust Method for Surface Defect Detection

ICASSP 2025accepted

Despite deep learning-based methods perform remarkably well in surface defect detection recently, the unpredictable shapes and sizes of surface defects and complicated texture background still pose enormous challenges for existing methods. To address these problems, we propose a novel surface defect…

Cited by 0SourceScholar
2024

CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies

IJCAI 2024poster

Few-shot anomaly classification (FSAC) is a vital task in manufacturing industry. Recent methods focus on utilizing CLIP in zero/few normal shot anomaly detection instead of custom models. However, there is a lack of specific text prompts in anomaly classification and most of them ignore the modalit…

Cited by 6SourcePDFScholar