Home ›
Entities
› academia
› Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution
Research article (IEEE Transactions on Multimedia, 2023) · cited 61× · AI/ML
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution
Summary
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution is a scholarly article[1].
Key Facts
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-multi-scale-parallel-self-attention-and-local-variation-via-dual-branch-transformer-cnn-structure-for-face-su
MLA“Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-multi-scale-parallel-self-attention-and-local-variation-via-dual-branch-transformer-cnn-structure-for-face-su.
BibTeX@misc{4ortxyz_exploiting-multi-scale-parallel-self-attention-and-local-variation-via-dual-branch-transformer-cnn-structure-for-face-su_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-multi-scale-parallel-self-attention-and-local-variation-via-dual-branch-transformer-cnn-structure-for-face-su}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution — https://4ort.xyz/entity/exploiting-multi-scale-parallel-self-attention-and-local-variation-via-dual-branch-transformer-cnn-structure-for-face-su (retrieved 2026-05-24)