Knowledge Transfer

A non-transitory computer readable medium storing a program which, when run on a computer, causes the computer to carry out a method comprising:

• obtaining, based on an input image, a first activation map of a labelled filter of a first convolutional neural network, the first convolutional neural network being configured to identify one or more first features in the input image;
• obtaining, based on the input image, a second activation map of a filter of a second convolutional neural network, the second convolutional neural network is configured to identify the one or more second features in the input image;
• calculating a similarity measure between the first activation map and the second activation map;
• and
• labelling, when the similarity measure is equal to or above a threshold similarity, the filter of the second convolutional neural network with a label of the labelled filter of the first convolutional neural network.

An information processing apparatus comprising:

• a memory, and
• a processor connected to the memory, wherein the processor is configured to:
• obtain, based on an input image, a first activation map of a labelled filter of a first convolutional neural network, the first convolutional neural network being configured to identify one or more first features in the input image;
• obtain, based on the input image, a second activation map of a filter of a second convolutional neural network, the second convolutional neural network being configured to identify one or more second features in the input image;
• calculate a similarity measure between the first activation map and the second activation map;
• and
• label, when the similarity measure is equal to or above a threshold similarity, the filter of the second convolutional neural network with a label of the labelled filter of the first convolutional neural network.