SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning

Daniele Di Mauro; Antonino Furnari; Giuseppe Patanè; Sebastiano Battiato; Giovanni Maria Farinella

doi:10.1016/j.patrec.2020.06.002

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SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning

Daniele Di Mauro Antonino Furnari Giuseppe Patanè Sebastiano Battiato Giovanni Maria Farinella

Year: 2020 Journal: Pattern Recognition Letters Vol: 136 Pages: 175-182 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2020.06.002

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Keywords:

Computer science Segmentation Artificial intelligence Viewpoints Task (project management) Adaptation (eye) Domain (mathematical analysis) Adversarial system Domain adaptation Process (computing) Computer vision Deep learning Machine learning Pattern recognition (psychology)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning

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