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). MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/msacon-mining-spatial-attention-based-contextual-information-for-road-extraction
MLA“MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/msacon-mining-spatial-attention-based-contextual-information-for-road-extraction.
BibTeX@misc{4ortxyz_msacon-mining-spatial-attention-based-contextual-information-for-road-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/msacon-mining-spatial-attention-based-contextual-information-for-road-extraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction — https://4ort.xyz/entity/msacon-mining-spatial-attention-based-contextual-information-for-road-extraction (retrieved 2026-05-24)
