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PLAUSIBILIZATION OF THE OUTPUT OF AN IMAGE CLASSIFIER HAVING A GENERATOR FOR MODIFIED IMAGES
PLAUSIBILIZATION OF THE OUTPUT OF AN IMAGE CLASSIFIER HAVING A GENERATOR FOR MODIFIED IMAGES
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机译:具有用于修改图像的发电机的图像分类器的输出的解放
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摘要
A method for plausibilizing the output of an image classifier which assigns an input image to one or more class(es) of a predefined classification. The method includes: an assignment to one or more class(es) is ascertained for the input image using the image classifier; a relevance assessment function is used to ascertain a spatially resolved relevance assessment of the input image, which indicates which components of the input image have contributed to what degree to the assignment; a generator is trained to generate modifications of the input image that are as satisfactory as possible according to a predefined cost function in view of the optimization goals; based on the result of the training, and/or based on the modifications supplied by the trained generator, a quality measure for the spatially resolved relevance assessment, and/or a quality measure for the relevance assessment function is/are ascertained.
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