Plankton detection with adversarial learning and a densely connected deep learning model for class imbalanced distribution

HIGHLIGHTS

• who: Yan Li et al. from the State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Institutes of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China School of Computer Science and Technology, University of Chinese Academy of Sciences have published the paper: Plankton Detection with Adversarial Learning and a Densely Connected Deep Learning Model for Class Imbalanced Distribution, in the Journal: (JOURNAL)
• what: In this paper a novel plankton detection strategy is proposed combining with a cycle-consistent adversarial network and a densely connected YOLOV3 model which not only . . .
  

   

  

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