most citedUnsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

216 citations · 216 across the 1 of their papers we have counts for

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cs.CV2019★ 216 cited

Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

Bilel Benjdira, Yakoub Bazi, Anis Koubaa +1

Segmenting aerial images is being of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that…