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Visualizing Color-wise Saliency of Black-Box Image Classification Models
[article]
2020
arXiv
pre-print
Image classification based on machine learning is being commonly used. However, a classification result given by an advanced method, including deep learning, is often hard to interpret. This problem of interpretability is one of the major obstacles in deploying a trained model in safety-critical systems. Several techniques have been proposed to address this problem; one of which is RISE, which explains a classification result by a heatmap, called a saliency map, which explains the significance
arXiv:2010.02468v1
fatcat:wk4knwogjbhann2oj5gv5753sa