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Deep Learning with VisionLab

VisionLab interfaces with all major Deep Learning frameworks that have a Python interface



See course material:
VisionLab Python interoperability and Deep Learning

Recent publications:
  • Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2018. CentroidNet: A Deep Neural Network for Joint Object Localization and Counting, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin.
  • Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2018. Hyperspectral demosaicking and crosstalk correction using deep learning, Machine Vision and Applications.
  • Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2017b. Hyper-spectral frequency selection for classification of vegetation diseases, [paper] 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 26-28 April 2017.
  • Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2017a. Hyper-spectral frequency selection for classification of vegetation diseases, [poster] 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 26-28 April 2017.