Superdense-scale network for semantic segmentation
Neurocomputing(2022)
摘要
•PSSAC exploits superdense-scale semantics and extends ASPP at dense scales.•PSSAC increases receptive fields for larger-scale variations at little extra cost.•Extensive experiments proves the superiority of SDSNet.
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关键词
Semantic segmentation,Deep learning,DCNN,Atrous convolution
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