The user partners of Visual Intelligence all aim at becoming more data-driven, where information extraction from digital visual data is an essential part of this and important for their value creation. They all have very complex imagery, acquired from a variety of sensors. The biggest drivers in the recent progress of AI systems for computer vision is the use of deep learning. However, there is still a long way before the full potential of deep learning is realized for applications and industries relying on more complex visual data. This is especially the case when annotated visual data are scarce and experts are needed to interpret them. Visual Intelligence aims to unlock the unused potential of deep learning methodology for extraction of knowledge from complex image data. To achieve this the centre will develop solutions for (i) learning from limited data; (ii) exploiting context and prior knowledge; (iii) estimation of confidence and uncertainties; and (iv) explainable models. This will create value for the user partners across our main innovation areas: -Medicine and health -Marine science -Energy and industry -Earth observation. Through this the centre will develop innovations that will contribute to solving important societal challenges related to health, resource management and climate monitoring by leading to better tools for: -Detecting heart disease and cancer -Monitoring and detecting natural resources -Monitoring the environment and climate -Monitoring risk and potential natural disasters. The strong combined research capacity in machine learning for solving real image analysis challenges is a main asset of Visual Intelligence, enabled by the unique interlinking of top research partners and active user partners enabling crucial cross-fertilization between domains. Leveraging top class international cooperation, we will train a large number of researchers and candidates to fill a digital competence void in the Norwegian business and public sector.
Project leader: Robert Jenssen
Institution: UNIVERSITETET I TROMSØ - NORGES ARKTISKE UNIVERSITET