Mceenet: multi-scale context enhancement and edge-assisted network for few-shot semantic segmentation

HIGHLIGHTS

  • who: Hongjie Zhou et al. from the School of Automation, Central South University, Changsha, China have published the article: MCEENet: Multi-Scale Context Enhancement and Edge-Assisted Network for Few-Shot Semantic Segmentation, in the Journal: Sensors 2023, 23, 2922. of /2023/
  • what: To overcome the above two issues, the authors propose a multi-scale context enhancement and edge-assisted network (called MCEENet) for FSS. The authors design an edge-assisted segmentation (EAS) module, which fuses the shallow ResNet features of the query image and the edge features computed by the Sobel operator to generate . . .

     

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