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). Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/parsing-very-high-resolution-urban-scene-images-by-learning-deep-convnets-with-edge-aware-loss
MLA“Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parsing-very-high-resolution-urban-scene-images-by-learning-deep-convnets-with-edge-aware-loss.
BibTeX@misc{4ortxyz_parsing-very-high-resolution-urban-scene-images-by-learning-deep-convnets-with-edge-aware-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss}}, year = {2026}, url = {https://4ort.xyz/entity/parsing-very-high-resolution-urban-scene-images-by-learning-deep-convnets-with-edge-aware-loss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss — https://4ort.xyz/entity/parsing-very-high-resolution-urban-scene-images-by-learning-deep-convnets-with-edge-aware-loss (retrieved 2026-05-24)
