Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh. Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark. IEEE Trans. Circuits Syst. Video Techn., 32(11):7301-7316, 2022. [doi]

@article{SendjasniLC22,
  title = {Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark},
  author = {Abderrezzaq Sendjasni and Mohamed-Chaker Larabi and Faouzi Alaya Cheikh},
  year = {2022},
  doi = {10.1109/TCSVT.2022.3181235},
  url = {https://doi.org/10.1109/TCSVT.2022.3181235},
  researchr = {https://researchr.org/publication/SendjasniLC22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Circuits Syst. Video Techn.},
  volume = {32},
  number = {11},
  pages = {7301-7316},
}