Robust Underwater Fish Classification Based on Data Augmentation by Adding Noises in Random Local Regions

Guanqun Wei, Zhiqiang Wei, Lei Huang, Jie Nie, Huanhuan Chang. Robust Underwater Fish Classification Based on Data Augmentation by Adding Noises in Random Local Regions. In Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang 0001, Chong-Wah Ngo, editors, Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part II. Volume 11165 of Lecture Notes in Computer Science, pages 509-518, Springer, 2018. [doi]

@inproceedings{WeiWHNC18,
  title = {Robust Underwater Fish Classification Based on Data Augmentation by Adding Noises in Random Local Regions},
  author = {Guanqun Wei and Zhiqiang Wei and Lei Huang and Jie Nie and Huanhuan Chang},
  year = {2018},
  doi = {10.1007/978-3-030-00767-6_47},
  url = {https://doi.org/10.1007/978-3-030-00767-6_47},
  researchr = {https://researchr.org/publication/WeiWHNC18},
  cites = {0},
  citedby = {0},
  pages = {509-518},
  booktitle = {Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part II},
  editor = {Richang Hong and Wen-Huang Cheng and Toshihiko Yamasaki and Meng Wang 0001 and Chong-Wah Ngo},
  volume = {11165},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00767-6},
}