Identification and improvement of image similarity using autoencoder

HIGHLIGHTS

  • What: The insights gained from this research have broad implications for various applications that require image generation, representation learning, and similarity analysis in complex visual datasets. 14, No 4, 2024, 15541-15546 This study proposed a DNN autoencoder model to facilitate image similarity analysis.
  • Who: Pylarinos from the School of Computer Science, University of Southampton Malaysia, Malaysia have published the research: Identification and Improvement of Image Similarity using Autoencoder, in the Journal: (JOURNAL)
  • How: This paper presents several applications including training the autoencoder transforming images and evaluating the DNN model.
  • Future . . .

     

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