Improving Contrastive Learning on Visually Homogeneous Mars Rover Images

Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh. Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I. Volume 13801 of Lecture Notes in Computer Science, pages 170-185, Springer, 2022. [doi]

@inproceedings{WardMPCG22,
  title = {Improving Contrastive Learning on Visually Homogeneous Mars Rover Images},
  author = {Isaac Ronald Ward and Charles Moore and Kai Pak and Jingdao Chen and Edwin Goh},
  year = {2022},
  doi = {10.1007/978-3-031-25056-9_12},
  url = {https://doi.org/10.1007/978-3-031-25056-9_12},
  researchr = {https://researchr.org/publication/WardMPCG22},
  cites = {0},
  citedby = {0},
  pages = {170-185},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13801},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25056-9},
}