Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation

DOI10.1007/978-3-319-18461-6_20zbMath1444.68260OpenAlexW1845618705MaRDI QIDQ3300304

Daniel Cremers, Julia Diebold, Caner Hazırbaş

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18461-6_20

zbMATH Keywords

image segmentationfeature selectionfeature analysissemantic scene understanding

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Uses Software

• NYU Depth

Cites Work

• Inference methods for CRFs with co-occurrence statistics
• A Convex Approach to Minimal Partitions

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