Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features

N. Zhang*, F.C. Nex, N. Kerle, G. Vosselman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)
115 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features'. Together they form a unique fingerprint.

Computer Science