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S. Jyhne

4 papers hereh-index 219 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedMapAI: Precision in Building Segmentation

19 citations · 19 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

NordFKB: a fine-grained benchmark dataset for geospatial AI in Norway

Sander Riisøen Jyhne, Aditya Gupta, Ben Worsley +3

We present NordFKB, a fine-grained benchmark dataset for geospatial AI in Norway, derived from the authoritative, highly accurate, national Felles KartdataBase (FKB). The dataset c…

cs.CV2025

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution

Sander Riisøen Jyhne, Christian Igel, Morten Goodwin +3

High-resolution imagery is often hindered by limitations in sensor technology, atmospheric conditions, and costs. Such challenges occur in satellite remote sensing, but also with h…

cs.CV2024★ 19 cited

MapAI: Precision in Building Segmentation

Sander Riisøen Jyhne, Morten Goodwin, Per Arne Andersen +5

MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration with Centre for Artificia…

cs.CV2023

DeNISE: Deep Networks for Improved Segmentation Edges

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin

This paper presents Deep Networks for Improved Segmentation Edges (DeNISE), a novel data enhancement technique using edge detection and segmentation models to improve the boundary…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.