MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images
MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images
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Basel: MDPI AG
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English
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Basel: MDPI AG
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In this paper, we focus on the problem of contextual aggregation in the semantic segmentation of aerial images. Current contextual aggregation methods only aggregate contextual information within specific regions to improve feature representation, which may yield poorly robust contextual information. To address this problem, we propose a novel mult...
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Full title
MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images
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TN_cdi_doaj_primary_oai_doaj_org_article_75dcf2003070449f8d91b52e80fe4fe5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75dcf2003070449f8d91b52e80fe4fe5
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14061498
