Sgsnet: a lightweight depth completion network based on secondary guidance and spatial fusion

HIGHLIGHTS

• who: Baifan Chen and colleagues from the The School of Automation, Central South University, Changsha, China have published the Article: SGSNet: A Lightweight Depth Completion Network Based on Secondary Guidance and Spatial Fusion, in the Journal: Sensors 2022, 22, 6414. of /2022/
• what: The authors propose a lightweight depth completion network based on and named SGSNet. The authors design the image feature extraction module to better extract features from different scales between and within layers in parallel and to generate features. This also showed the main reason for the network runtime was the guidance module . . .
  

   

  

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