CORDIS Project
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This project aims to improve deep neural networks for visual perception by evaluating their performance against human visual processing. It will identify limitations and develop new algorithms based on human behavioral and neural data.
How do we recognize what we see?
Despite the deceptive ease of perceiving things, explaining how we see turns out to be a supremely difficult task.
Only recently advances in computer vision finally brought a class of models, known as deep neural nets, that are capable of matching human performance in several visual perception tasks.
In this project, we aim to employ the knowledge how human visual system processes visual information in order to critically evaluate and improve the existing models…
KATHOLIEKE UNIVERSITEIT LEUVEN
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United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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