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DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution

Research article (IEEE Access, 2024) · cited 24× · AI/ML
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DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution

Summary

DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution is a scholarly article[1].

Key Facts

  • DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  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). DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/dhtcun-deep-hybrid-transformer-cnn-u-network-for-single-image-super-resolution
MLA “DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dhtcun-deep-hybrid-transformer-cnn-u-network-for-single-image-super-resolution.
BibTeX @misc{4ortxyz_dhtcun-deep-hybrid-transformer-cnn-u-network-for-single-image-super-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution}}, year = {2026}, url = {https://4ort.xyz/entity/dhtcun-deep-hybrid-transformer-cnn-u-network-for-single-image-super-resolution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DHTCUN: Deep Hybrid Transformer CNN U Network for Single-Image Super-Resolution — https://4ort.xyz/entity/dhtcun-deep-hybrid-transformer-cnn-u-network-for-single-image-super-resolution (retrieved 2026-05-24)

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