most citedEvaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 3 cited

Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy

Matteo Rizzo, Cristina Conati, Daesik Jang +1

The opacity of deep learning models constrains their debugging and improvement. Augmenting deep models with saliency-based strategies, such as attention, has been claimed to help g…