Litcius/Paper detail

AutoEnhancer: Transformer on U-Net Architecture Search for Underwater Image Enhancement

Yi Tang, Takafumi Iwaguchi, Hiroshi Kawasaki, Ryusuke Sagawa, Ryo Furukawa

2023Lecture notes in computer science31 citationsDOI

Topics & Concepts

Computer scienceTransformerUnderwaterArtificial intelligenceArchitectureArtificial neural networkDeep learningNetwork architectureComputer engineeringMachine learningComputer architectureComputer networkVoltageEngineeringElectrical engineeringGeologyVisual artsArtOceanographyImage Enhancement TechniquesAdvanced Image Processing TechniquesAdvanced Neural Network Applications
AutoEnhancer: Transformer on U-Net Architecture Search for Underwater Image Enhancement | Litcius