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Summary
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The website highlights recent publications from researchers, primarily focusing on areas like cell segmentation and classification in medical imaging, computer vision, and deep learning. Key publications include:

* SPoT: A new model for subpixel placement of tokens in Vision Transformers.
* FLEXtime: A filterbank learning approach for explaining time series data.
* WOODWORK: A deep-learning framework for detecting woodpecker damage in powerline inspections.
* Low-Rank Adaptations: Research on improving generalization in foundation model features.

These publications are appearing in journals and workshops such as *Computers in Biology and Medicine*, *International Journal of Electrical Power & Energy Systems*, and at events like MICCAI and ICCV 2025. The research centers around addressing challenges in visual intelligence and utilizing deep learning for complex visual data applications.
Title
SFI Visual Intelligence - Home
Description
A Norwegian Centre for Research-based Innovation at UiT The Arctic University of Norway. We aim at unlocking the potential of deep learning and AI to extract knowledge from complex image data.
Keywords
research, more, partners, intelligence, learning, read, data, innovation, areas, deep, authors, challenges, science, events, training, medicine, energy
NS Lookup
A 198.202.211.1
Dates
Created 2026-02-15
Updated 2026-02-15
Summarized 2026-03-02

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