A Metric to Compare Pixel-Wise Interpretation Methods for Neural Networks
There are various pixel-based interpretation methods such as saliency map, gradient×input, DeepLIFT, integrated-gradient-n, etc. However, it is difficult to compare their performance as it involves human cognitive processes. We propose a metric that can quantify the distance from the impo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9268152/ |