Home /Research /Style transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities
LEARNING

Style transformed synthetic images for real world gaze estimation by using residual neural network with embedded personal identities

Hui Wang, Ruo-Chen Dang, Guangpu Zhu, Hai-Feng Pi, Frederick Shic, Bingliang Hu

Year
2022
Citations
9

Keywords

Computer scienceGazeArtificial intelligenceResidualBenchmark (surveying)Artificial neural networkIdentity (music)Transformation (genetics)Style (visual arts)Computer vision

Related papers

Browse all LEARNING papers