Urban scene semantic segmentation with insufficient labeled data
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DOI: 10.23919/jcc.2019.11.017
Abstract: Semantic segmentation of urban scenes is an enabling factor for a wide range of applications. With the development of deep learning in recent years, semantic segmentation tasks using high-capacity models have achieved considerable successes on… read more here.
Keywords: labeled data; insufficient labeled; urban scene; semantic segmentation ... See more keywords