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). FCENet: An Instance Segmentation Model for Extracting Figures and Captions From Material Documents. Retrieved May 24, 2026, from https://4ort.xyz/entity/fcenet-an-instance-segmentation-model-for-extracting-figures-and-captions-from-material-documents
MLA“FCENet: An Instance Segmentation Model for Extracting Figures and Captions From Material Documents.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fcenet-an-instance-segmentation-model-for-extracting-figures-and-captions-from-material-documents.
BibTeX@misc{4ortxyz_fcenet-an-instance-segmentation-model-for-extracting-figures-and-captions-from-material-documents_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FCENet: An Instance Segmentation Model for Extracting Figures and Captions From Material Documents}}, year = {2026}, url = {https://4ort.xyz/entity/fcenet-an-instance-segmentation-model-for-extracting-figures-and-captions-from-material-documents}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FCENet: An Instance Segmentation Model for Extracting Figures and Captions From Material Documents — https://4ort.xyz/entity/fcenet-an-instance-segmentation-model-for-extracting-figures-and-captions-from-material-documents (retrieved 2026-05-24)