Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder

Hidenori Ide, Hiromu Fujishige, Jun'ichi Miyao, Takio Kurita. Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder. In Kazuhiko Sumi, In Seop Na, Naoshi Kaneko, editors, Frontiers of Computer Vision - 28th International Workshop, IW-FCV 2022, Hiroshima, Japan, February 21-22, 2022, Revised Selected Papers. Volume 1578 of Communications in Computer and Information Science, pages 97-111, Springer, 2022. [doi]

@inproceedings{IdeFMK22,
  title = {Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder},
  author = {Hidenori Ide and Hiromu Fujishige and Jun'ichi Miyao and Takio Kurita},
  year = {2022},
  doi = {10.1007/978-3-031-06381-7_7},
  url = {https://doi.org/10.1007/978-3-031-06381-7_7},
  researchr = {https://researchr.org/publication/IdeFMK22},
  cites = {0},
  citedby = {0},
  pages = {97-111},
  booktitle = {Frontiers of Computer Vision - 28th International Workshop, IW-FCV 2022, Hiroshima, Japan, February 21-22, 2022, Revised Selected Papers},
  editor = {Kazuhiko Sumi and In Seop Na and Naoshi Kaneko},
  volume = {1578},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-06381-7},
}