Robust and fair undersea target detection with automated underwater vehicles for biodiversity data collection

HIGHLIGHTS

  • who: Ranjith Dinakaranr and colleagues from the Department of Computer and Information Sciences, Northumbria University, Newcastle , ST, UK have published the research work: Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection, in the Journal: (JOURNAL)
  • what: To solve this challenge in this work the authors propose a cascaded framework by combining a DCGAN (deep convolutional generative adversarial network) with an object detector i.e. single-shot detector (SSD) named DCGAN+SSD for the detection of various underwater targets from the mounted camera of an automated underwater vehicle. To optimize . . .

     

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