PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation

Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021) · cited 56× · AI/ML
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PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation

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PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation is a scholarly article[1].

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  • PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/picoco-pixelwise-contrast-and-consistency-learning-for-semisupervised-building-footprint-segmentation
MLA “PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/picoco-pixelwise-contrast-and-consistency-learning-for-semisupervised-building-footprint-segmentation.
BibTeX @misc{4ortxyz_picoco-pixelwise-contrast-and-consistency-learning-for-semisupervised-building-footprint-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/picoco-pixelwise-contrast-and-consistency-learning-for-semisupervised-building-footprint-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation — https://4ort.xyz/entity/picoco-pixelwise-contrast-and-consistency-learning-for-semisupervised-building-footprint-segmentation (retrieved 2026-05-24)

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