Home /Research /Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset
LEARNING

Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset

Volker Knauthe, Thomas Pöllabauer, Katharina Faller, Maurice Kraus, Tristan Wirth, Max von Buelow, Arjan Kuijper, Dieter W. Fellner

Year
2023
Citations
2

Keywords

Transparency (behavior)Computer scienceImage warpingArtificial intelligenceComputer visionArtificial neural networkDeep learningDistortion (music)Machine learningComputer security

Related papers

Browse all LEARNING papers