Canonical Saliency Maps: Decoding Deep Face Models
IEEE Transactions on Biometrics, Behavior, and Identity Science(2021)
Abstract
As Deep Neural Network models for face processing tasks approach human-like performance, their deployment in critical applications such as law enforcement and access control has seen an upswing, where any failure may have far-reaching consequences. We need methods to build trust in deployed systems by making their working as transparent as possible. Existing visualization algorithms are designed f...
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Key words
Face recognition,Task analysis,Heating systems,Visualization,Faces,Predictive models,Biological system modeling
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