Fast and efficient image novelty detection based on mean-shifts

HIGHLIGHTS

• who: Matthias Hermann et al. from the Institute for Optical Systems, HTWG Konstanz-University of Applied Sciences, Alfred-Wachtel-Strau00dfe, Konstanz, Germany have published the research: Fast and Efficient Image Novelty Detection Based on Mean-Shifts, in the Journal: Sensors 2022, 22, 7674. of /2022/
• what: To showcase the state-of-the-art capabilities of the approach the authors compare results with classical and deep learning methods on the popular dataset CIFAR-10 and demonstrate its real-world applicability in a largescale industrial inspection scenario using the MVTec dataset. The authors show in extensive experiments . . .
  

   

  

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