Image semantic segmentation of underwater garbage with modified u-net architecture model

HIGHLIGHTS

• who: Lifu Wei et al. from the Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China have published the paper: Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model, in the Journal: Sensors 2022, 22, 6546. of /2022/
• what: In this paper, an improved U-Net structure is proposed to accomplish underwater garbage image semantic segmentation.
• how: The output data are obtained after a 3 × 3 × n convolution layer where n denotes the number of categories. The test dataset used for the experiments was collected in . . .
  

   

  

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