Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations
Summary
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations is a scholarly article[1].
Key Facts
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-faithfulness-of-saliency-maps-in-explaining-deep-learning-models-using-realistic-perturbations
MLA“Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-faithfulness-of-saliency-maps-in-explaining-deep-learning-models-using-realistic-perturbations.
BibTeX@misc{4ortxyz_evaluating-the-faithfulness-of-saliency-maps-in-explaining-deep-learning-models-using-realistic-perturbations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-faithfulness-of-saliency-maps-in-explaining-deep-learning-models-using-realistic-perturbations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations — https://4ort.xyz/entity/evaluating-the-faithfulness-of-saliency-maps-in-explaining-deep-learning-models-using-realistic-perturbations (retrieved 2026-05-24)
