Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system

Muhammad Ali Farooq, Hossein Javidnia, Peter Corcoran 0001. Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system. J. Electronic Imaging, 29(06):63004, 2020. [doi]

@article{FarooqJC20,
  title = {Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system},
  author = {Muhammad Ali Farooq and Hossein Javidnia and Peter Corcoran 0001},
  year = {2020},
  doi = {10.1117/1.JEI.29.6.063004},
  url = {https://doi.org/10.1117/1.JEI.29.6.063004},
  researchr = {https://researchr.org/publication/FarooqJC20},
  cites = {0},
  citedby = {0},
  journal = {J. Electronic Imaging},
  volume = {29},
  number = {06},
  pages = {63004},
}