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Image super-resolution with multi-scale fractal residual attention network

Research article (Computers & Graphics, 2023) · cited 11× · AI/ML
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Image super-resolution with multi-scale fractal residual attention network

Summary

Image super-resolution with multi-scale fractal residual attention network is a scholarly article[1].

Key Facts

  • Image super-resolution with multi-scale fractal residual attention network's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Image super-resolution with multi-scale fractal residual attention network. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-super-resolution-with-multi-scale-fractal-residual-attention-network
MLA “Image super-resolution with multi-scale fractal residual attention network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-super-resolution-with-multi-scale-fractal-residual-attention-network.
BibTeX @misc{4ortxyz_image-super-resolution-with-multi-scale-fractal-residual-attention-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image super-resolution with multi-scale fractal residual attention network}}, year = {2026}, url = {https://4ort.xyz/entity/image-super-resolution-with-multi-scale-fractal-residual-attention-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image super-resolution with multi-scale fractal residual attention network — https://4ort.xyz/entity/image-super-resolution-with-multi-scale-fractal-residual-attention-network (retrieved 2026-05-24)

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