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Data · dataset · 2021

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To structure ensemble model ideology, semantic segmentation methods firstly apply to the training datasets, 20 results are generated with five semantic segmentation algorithms and four backbone architectures in stage 2 of Figure 1.

Description

Five semantic segmentation algorithms include CGNet, U-Net, DeepLabv3+, PSPNet, and DUC-HDC and the four backbones are plain networks, dilated convolutions, ResNet34, and DenseNet121. Therefore, a total of 20 base algorithms are obtained 

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Inferred from text
Machine learning 69%
Provenance · 1 source records, 13 field assertions
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ScienceDB10.11922/sciencedb.0134112 d agoJSON v1
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