Extracting an Explanatory Graph to Interpret a CNN.

IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.

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Abstract:

This paper introduces an explanatory graph representation to reveal object parts encoded inside convolutional layers of a CNN. Given a pre-trained CNN, each filter in a conv-layer usually represents a mixture of object parts. We develop a simple yet effective method to learn an explanatory graph, which automatically disentangles object pa...More

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