19 citations · 19 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
A Contrastive Learning Scheme with Transformer Innate Patches
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
This paper presents Contrastive Transformer, a contrastive learning scheme using the Transformer innate patches. Contrastive Transformer enables existing contrastive learning techn…