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  • Rank 483,627 (Top 10 %)
  • Language
    Python
  • Created almost 2 years ago
  • Updated over 1 year ago

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Repository Details

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.