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IS-CAM: Integrated Score-CAM for axiomatic-based explanations

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arxiv 2010.03023 v1 pith:3R365WLN submitted 2020-10-06 cs.CV

Rakshit Naidu , Ankita Ghosh , Yash Maurya , Shamanth R Nayak K , Soumya Snigdha Kundu This is my paper · ORCID
classification cs.CV
keywords is-camscore-camintegratedmodelsaccountachieveattemptattribution
verification ladder T0 review T1 audit T2 compute T3 formal
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Convolutional Neural Networks have been known as black-box models as humans cannot interpret their inner functionalities. With an attempt to make CNNs more interpretable and trustworthy, we propose IS-CAM (Integrated Score-CAM), where we introduce the integration operation within the Score-CAM pipeline to achieve visually sharper attribution maps quantitatively. Our method is evaluated on 2000 randomly selected images from the ILSVRC 2012 Validation dataset, which proves the versatility of IS-CAM to account for different models and methods.

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