Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks

Jasper Wilfling; Matías Valdenegro-Toro; Marco Zullich

doi:10.14428/esann/2024.es2024-131

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JOURNAL ARTICLE

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks

Jasper Wilfling Matías Valdenegro-Toro Marco Zullich

Year: 2024 Pages: 279-284

DOI: 10.14428/esann/2024.es2024-131

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Keywords:

Convolutional neural network Computer science Artificial intelligence Quality (philosophy) Distilled water Pattern recognition (psychology) Chemistry Chromatography

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Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks

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Citation History

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