Plankton Detection with Adversarial Learning and a Densely Connected Deep Learning Model for Class Imbalanced Distribution

Plankton Detection with Adversarial Learning and a Densely Connected Deep Learning Model for Class Imbalanced Distribution

Detecting and classifying the plankton in situ to analyze the population diversity and abundance is fundamental for the understanding of marine planktonic ecosystem. However, the features of plankton are subtle, and the distribution of different plankton taxa is extremely imbalanced in the real mari...

Full description

Bibliographic Details
Main Authors: Yan Li, Jiahong Guo, Xiaomin Guo, Zhiqiang Hu, Yu Tian
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Marine Science and Engineering
Subjects:
plankton detection
class imbalanced distribution
data augmentation
deep learning
adversarial learning
Online Access:https://www.mdpi.com/2077-1312/9/6/636

Internet

https://www.mdpi.com/2077-1312/9/6/636

Similar Items