Semi-supervised Siamese Networks for Change Recognition with VHR Imagery

Matthew J. Gibson, Arcot Sowmya. Semi-supervised Siamese Networks for Change Recognition with VHR Imagery. In Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre, editors, Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021. Volume 3088 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

@inproceedings{GibsonS21,
  title = {Semi-supervised Siamese Networks for Change Recognition with VHR Imagery},
  author = {Matthew J. Gibson and Arcot Sowmya},
  year = {2021},
  url = {http://ceur-ws.org/Vol-3088/paper4.pdf},
  researchr = {https://researchr.org/publication/GibsonS21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021},
  editor = {Thomas Corpetti and Dino Ienco and Roberto Interdonato and Minh-Tan Pham and Sébastien Lefèvre},
  volume = {3088},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}