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NR vitenarkiv [381]
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Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration
(Chapter, 2023)This position paper presents a framework for intelligent underwater exploration by marrying foundation models (FMs) with multi‑frequency echosounder data. Echosounder data capture backscattered acoustic signals across a ... -
Reproducible preservation of databases through executable specifications
(Journal article; Peer reviewed, 2025)We propose a new preservation method for relational data and a corresponding tool. The method involves writing a specification that can later be executed by the tool without user interaction, transforming the input files ... -
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers
(Journal article; Peer reviewed, 2025)Vision Transformer (ViT) architectures traditionally employ a grid-based approach to tokenization independent of the semantic content of an image. We propose a modular superpixel tokenization strategy which decouples ... -
Integrating and assessing machine learning acoustic target classification models for fish survey estimations
(Journal article; Peer reviewed, 2025)Scientific acoustic-trawl surveys collect data that are used to track fish and zooplankton populations over time. Most rely on manual annotation during acoustic target classification, but automated methods have been proposed. ... -
SIMULA 67. Common Base Language
(Report at the Norwegian Computing Center;, Research report, 1984)This document contains the definition of the programming language SIMULA 76, excluding the Algol language. The language definition is supervized by the SIMULA Standards Group. This document is a revised version of the ...