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TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions.

Daniel Stanley TanYi-Chun ChenTrista Pei-Chun ChenWei-Chao Chen
Published in: WACV (2021)
Keyphrases
  • main contribution
  • defect classification
  • theoretical framework
  • conceptual framework
  • noise level
  • trust management