Data-Efficient Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Generative Adversarial Networks

Data-Efficient Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Generative Adversarial Networks

Despite the significant advances noted in semantic segmentation of aerial imagery, a considerable limitation is blocking its adoption in real cases. If we test a segmentation model on a new area that is not included in its initial training set, accuracy will decrease remarkably. This is caused by th...

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Bibliographic Details
Main Authors: Bilel Benjdira, Adel Ammar, Anis Koubaa, Kais Ouni
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
deep learning
domain adaptation
semantic segmentation
generative adversarial networks
convolutional neural networks
aerial imagery
Online Access:https://www.mdpi.com/2076-3417/10/3/1092

Internet

https://www.mdpi.com/2076-3417/10/3/1092

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