25 years of CNNs: Can we compare to human abstraction capabilities?

28 Jul 2016Sebastian StabingerAntonio Rodríguez-SánchezJustus Piater

We try to determine the progress made by convolutional neural networks over the past 25 years in classifying images into abstractc lasses. For this purpose we compare the performance of LeNet to that of GoogLeNet at classifying randomly generated images which are differentiated by an abstract property (e.g., one class contains two objects of the same size, the other class two objects of different sizes)... (read more)

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