End-to-end retinex-based illumination attention low-light enhancement network for autonomous driving at night

HIGHLIGHTS

• who: End-to-End Retinex-Based Illumination Attention and collaborators from the School of Automobile, Chang`an University, Xi`an, Shaanxi, China have published the article: End-to-End Retinex-Based Illumination Attention Low-Light Enhancement Network for Autonomous Driving at Night, in the Journal: Computational Intelligence and Neuroscience of 20/08/2022
• what: Subsequently the authors propose a memory gate mechanism learn adaptively long-term and short-term memory. The authors propose an end-to-end Retinex-based illumination attention low-light enhancement network. The authors propose a feature transfer flow structure, which contains . . .
  

   

  

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