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). HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks. Retrieved May 24, 2026, from https://4ort.xyz/entity/highboostnet-a-deep-light-weight-image-super-resolution-network-using-high-boost-residual-blocks
MLA“HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/highboostnet-a-deep-light-weight-image-super-resolution-network-using-high-boost-residual-blocks.
BibTeX@misc{4ortxyz_highboostnet-a-deep-light-weight-image-super-resolution-network-using-high-boost-residual-blocks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks}}, year = {2026}, url = {https://4ort.xyz/entity/highboostnet-a-deep-light-weight-image-super-resolution-network-using-high-boost-residual-blocks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks — https://4ort.xyz/entity/highboostnet-a-deep-light-weight-image-super-resolution-network-using-high-boost-residual-blocks (retrieved 2026-05-24)
