IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references

Research article (Journal of King Saud University - Computer and Information Sciences, 2022) · cited 11× · AI/ML
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IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references

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IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references. Retrieved May 24, 2026, from https://4ort.xyz/entity/ipas-net-a-deep-learning-model-for-generating-high-fidelity-shoeprints-from-low-quality-images-with-no-natural-reference
MLA “IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ipas-net-a-deep-learning-model-for-generating-high-fidelity-shoeprints-from-low-quality-images-with-no-natural-reference.
BibTeX @misc{4ortxyz_ipas-net-a-deep-learning-model-for-generating-high-fidelity-shoeprints-from-low-quality-images-with-no-natural-reference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references}}, year = {2026}, url = {https://4ort.xyz/entity/ipas-net-a-deep-learning-model-for-generating-high-fidelity-shoeprints-from-low-quality-images-with-no-natural-reference}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references — https://4ort.xyz/entity/ipas-net-a-deep-learning-model-for-generating-high-fidelity-shoeprints-from-low-quality-images-with-no-natural-reference (retrieved 2026-05-24)

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