Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction
Summary
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction is a scholarly article[1].
Key Facts
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-multiple-crowdsourced-data-to-learn-deep-convolutional-neural-networks-for-road-extraction
MLA“Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-multiple-crowdsourced-data-to-learn-deep-convolutional-neural-networks-for-road-extraction.
BibTeX@misc{4ortxyz_exploring-multiple-crowdsourced-data-to-learn-deep-convolutional-neural-networks-for-road-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-multiple-crowdsourced-data-to-learn-deep-convolutional-neural-networks-for-road-extraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction — https://4ort.xyz/entity/exploring-multiple-crowdsourced-data-to-learn-deep-convolutional-neural-networks-for-road-extraction (retrieved 2026-05-24)
