Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Danielle K. Wilde"'
Autor:
John H. R. Burns, Grady Weyenberg, Travis Mandel, Sofia B. Ferreira, Drew Gotshalk, Chad K. Kinoshita, Micah J. Marshall, Nicholas A. V. Del Moral, Shane J. Murphy, Kailey H. Pascoe, Alexandra Runyan, Alexander J. Spengler, Brittany D. Wells, Danielle K. Wilde, Roberto Pelayo
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
The prevalence of coral disease is steadily increasing throughout the global ocean, and there is a growing need for efficient methods for detecting and monitoring coral health. At present, coral health assessments are primarily conducted using in-sit
Externí odkaz:
https://doaj.org/article/418ed3cef15648919cbe9eb77d270e19
Autor:
Travis Mandel, Danielle K. Wilde, Nicholas A. V. Del Moral, Grady Weyenberg, Brittany D. Wells, Drew Gotshalk, Micah J. Marshall, John H. R. Burns, Alexander J. Spengler, Shane J. Murphy
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
In computer vision, it is often unclear how humans should annotate data in a way that optimizes both human effort and machine performance. This is particularly true in image cover applications, in which the goal is to determine what percentage of the