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Lin et al., 2024 - Google Patents

Evaluation of Fine-Grained Anomaly Detection Methods on a Novel Battery Surface Defect Dataset

Lin et al., 2024

Document ID
17238736278217057464
Author
Lin D
Chen Y
Tan K
Zhou Y
Xu Y
Zhai Y
Publication year
Publication venue
2024 5th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)

External Links

Snippet

Industrial anomaly detection frequently faces challenges, including an imbalanced distribution of positive and negative samples, complex backgrounds in product images, and the recognition of small targets. Although anomaly detection (AD) has achieved notable …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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