Deep neural networks (DNNs) are machine learning algorithms that have
re...
In laboratory object recognition tasks based on undistorted photographs,...
"The power of a generalization system follows directly from its biases"
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A few years ago, the first CNN surpassed human performance on ImageNet.
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Color constancy is our ability to perceive constant colors across varyin...
How do humans learn to acquire a powerful, flexible and robust represent...
A central problem in cognitive science and behavioural neuroscience as w...
Deep learning has triggered the current rise of artificial intelligence ...
Convolutional Neural Networks (CNNs) are commonly thought to recognise
o...
We compare the robustness of humans and current convolutional deep neura...
Human visual object recognition is typically rapid and seemingly effortl...