Towards learning low-light indoor semantic segmentation with illumination-invariant features

Presenter(s): ZHANG Ning

University of Novi Sad, Faculty of Technical Science, Geoinformatics Laboratory

ZHANG Ning

Towards learning low-light indoor semantic segmentation with illumination-invariant features
Corresponding paper: TOWARDS LEARNING LOW-LIGHT INDOOR SEMANTIC SEGMENTATION WITH ILLUMINATION-INVARIANT FEATURES
Auhor(s): N. Zhang, F. Nex, N. Kerle, and G. Vosselman
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021

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