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RFA-Net: Residual feature attention network for fine-grained image inpainting

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 26× · AI/ML
academia openalex:W4313568822
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RFA-Net: Residual feature attention network for fine-grained image inpainting

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RFA-Net: Residual feature attention network for fine-grained image inpainting is a scholarly article[1].

Key Facts

  • RFA-Net: Residual feature attention network for fine-grained image inpainting's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). RFA-Net: Residual feature attention network for fine-grained image inpainting. Retrieved May 24, 2026, from https://4ort.xyz/entity/rfa-net-residual-feature-attention-network-for-fine-grained-image-inpainting
MLA “RFA-Net: Residual feature attention network for fine-grained image inpainting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rfa-net-residual-feature-attention-network-for-fine-grained-image-inpainting.
BibTeX @misc{4ortxyz_rfa-net-residual-feature-attention-network-for-fine-grained-image-inpainting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RFA-Net: Residual feature attention network for fine-grained image inpainting}}, year = {2026}, url = {https://4ort.xyz/entity/rfa-net-residual-feature-attention-network-for-fine-grained-image-inpainting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RFA-Net: Residual feature attention network for fine-grained image inpainting — https://4ort.xyz/entity/rfa-net-residual-feature-attention-network-for-fine-grained-image-inpainting (retrieved 2026-05-24)

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