DeNISE: Deep Networks for Improved Segmentation Edges. - Sander Riisøen Jyhne; Jørgen Åsbu Jacobsen; Morten Goodwin; Per-Arne Andersen (AIAI (1), 2023)

A Contrastive Learning Scheme with Transformer Innate Patches. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin; Ivar Oveland (SGAI Conf., 2023)

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin (CoRR, 2023)

DeNISE: Deep Networks for Improved Segmentation Edges. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin (CoRR, 2023)

TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. - Sander Riisøen Jyhne; Per-Arne Andersen; Ivar Oveland; Morten Goodwin (SGAI Conf. (1), 2024)

MapAI: Precision in Building Segmentation. - Sander Riisøen Jyhne; Morten Goodwin; Per-Arne Andersen; Ivar Oveland; Alexander Salveson Nossum; Karianne Ormseth; Mathilde Ørstavik; Andrew C. Flatman (CoRR, 2024)