Now showing items 1-3 of 3

    • A quaternion deterministic monogenic CNN layer for contrast invariance 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
      Part of book or chapter of book
      Open Access
      Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...
    • A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification 

      Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Sánchez-Pérez, Abraham; Salazar Colores, Sebastián; Cortés García, Claudio Ulises (Institute of Electrical and Electronics Engineers (IEEE), 2021-12-20)
      Article
      Open Access
      Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the mammalian visual systems such as invariance ...
    • Automatic vehicle counting area creation based on vehicle deep learning detection and DBSCAN 

      Alvarez Piña, Gerardo; Moya Sánchez, Eduardo Ulises; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      Deep learning and high-performance computing have augmented and speed-up the scope of video-based vehicles' massive counting. The automatic vehicle counts result from the detection and tracking of the vehicles in certain ...