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). Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-maps-from-cnns-trained-with-sparse-scribbled-ground-truths-using-fully-connected-crfs
MLA“Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-maps-from-cnns-trained-with-sparse-scribbled-ground-truths-using-fully-connected-crfs.
BibTeX@misc{4ortxyz_improving-maps-from-cnns-trained-with-sparse-scribbled-ground-truths-using-fully-connected-crfs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs}}, year = {2026}, url = {https://4ort.xyz/entity/improving-maps-from-cnns-trained-with-sparse-scribbled-ground-truths-using-fully-connected-crfs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs — https://4ort.xyz/entity/improving-maps-from-cnns-trained-with-sparse-scribbled-ground-truths-using-fully-connected-crfs (retrieved 2026-05-24)