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FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN

Research article (Electronics, 2023) · cited 20× · AI/ML
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FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN

Summary

FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN is a scholarly article[1].

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  • FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN'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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APA 4ort.xyz Knowledge Graph. (2026). FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN. Retrieved May 24, 2026, from https://4ort.xyz/entity/fe-gan-fast-and-efficient-underwater-image-enhancement-model-based-on-conditional-gan
MLA “FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fe-gan-fast-and-efficient-underwater-image-enhancement-model-based-on-conditional-gan.
BibTeX @misc{4ortxyz_fe-gan-fast-and-efficient-underwater-image-enhancement-model-based-on-conditional-gan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN}}, year = {2026}, url = {https://4ort.xyz/entity/fe-gan-fast-and-efficient-underwater-image-enhancement-model-based-on-conditional-gan}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FE-GAN: Fast and Efficient Underwater Image Enhancement Model Based on Conditional GAN — https://4ort.xyz/entity/fe-gan-fast-and-efficient-underwater-image-enhancement-model-based-on-conditional-gan (retrieved 2026-05-24)

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