most citedISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 2 cited

ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization

Wenping Jin, Fei Guo, Li Zhu

In the realm of machine learning, the study of anomaly detection and localization within image data has gained substantial traction, particularly for practical applications such as…