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Image Credit: Arxiv

Bi-Grid Reconstruction for Image Anomaly Detection

  • Significant advancements have been made in image anomaly detection using un- and self-supervised methods.
  • The paper introduces GRAD: Bi-Grid Reconstruction for Image Anomaly Detection.
  • GRAD employs two continuous grids to enhance anomaly detection from normal and abnormal perspectives.
  • Evaluations demonstrate significant performance improvements in fine-grained anomaly detection with GRAD.

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