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). DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/dsnet-a-novel-way-to-use-atrous-convolutions-in-semantic-segmentation
MLA“DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dsnet-a-novel-way-to-use-atrous-convolutions-in-semantic-segmentation.
BibTeX@misc{4ortxyz_dsnet-a-novel-way-to-use-atrous-convolutions-in-semantic-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/dsnet-a-novel-way-to-use-atrous-convolutions-in-semantic-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation — https://4ort.xyz/entity/dsnet-a-novel-way-to-use-atrous-convolutions-in-semantic-segmentation (retrieved 2026-05-24)
