Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at Oxford developed VGG-16 for the ImageNet challenge. By utilizing small 3×3 convolutional filters stacked tightly together, they proved that increasing network depth directly maximized visual feature abstraction.
Part of the 33 AI Roots Facts: 2014 Edition archive. HistoricallyVerified
Top 5 Structural Foundations: Origins
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