Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance

Dinesh Kumar, Dharmendra Sharma 0001. Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance. In A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha C. Peck, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers. Volume 1691 of Communications in Computer and Information Science, pages 259-278, Springer, 2021. [doi]

@inproceedings{Kumar021-4,
  title = {Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance},
  author = {Dinesh Kumar and Dharmendra Sharma 0001},
  year = {2021},
  doi = {10.1007/978-3-031-25477-2_12},
  url = {https://doi.org/10.1007/978-3-031-25477-2_12},
  researchr = {https://researchr.org/publication/Kumar021-4},
  cites = {0},
  citedby = {0},
  pages = {259-278},
  booktitle = {Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers},
  editor = {A. Augusto de Sousa and Vlastimil Havran and Alexis Paljic and Tabitha C. Peck and Christophe Hurter and Helen C. Purchase and Giovanni Maria Farinella and Petia Radeva and Kadi Bouatouch},
  volume = {1691},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-25477-2},
}