The Seeing Stack
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A convolutional network stacks template maps feeding template maps, with bends and coarsening between — each small neighborhood's strongest response kept, the rest shed.
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Stacked layers grow each output's field of influence until a final response can depend on the whole image; competition-era stacks ran past 150 layers.
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The coarsening buys tolerance to small shifts — and spends fine position information to get it.