Visor-net: visibility estimation based on deep ordinal relative learning under discrete-level labels

HIGHLIGHTS

• who: Lina Xun and colleagues from the The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electrical Engineering and Automation, Anhui University, Hefei, China have published the research work: VISOR-NET: Visibility Estimation Based on Deep Ordinal Relative Learning under Discrete-Level Labels, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The main contributions of this paper are summarized as follows: A novel end-to-end pipeline VISOR-NET is proposed for visibility estimation with ordinal relative learning, which combines ordinal regression with the . . .
  

   

  

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