LISU: Low-light indoor scene understanding with joint learning of reflectance restoration

ISPRS Journal of Photogrammetry and Remote Sensing(2022)

引用 6|浏览3
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摘要
•An end-to-end deep learning framework for semantic segmentation in low-light indoor scenes outperforming the state-of-the-art DeepLab v3+.•A new data set contains both rendered and real normal-light/low-light image pairs for studying UAVs or robots understanding low-light indoor scenes.
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关键词
Semantic segmentation,Deep learning,Intrinsic image decomposition,Low-light
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