Home ›
Entities
› academia
› Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2023) · cited 20× · AI/ML
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification
Summary
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification is a scholarly article[1].
Key Facts
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/knowledge-evolution-learning-a-cost-free-weakly-supervised-semantic-segmentation-framework-for-high-resolution-land-cove
MLA“Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/knowledge-evolution-learning-a-cost-free-weakly-supervised-semantic-segmentation-framework-for-high-resolution-land-cove.
BibTeX@misc{4ortxyz_knowledge-evolution-learning-a-cost-free-weakly-supervised-semantic-segmentation-framework-for-high-resolution-land-cove_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification}}, year = {2026}, url = {https://4ort.xyz/entity/knowledge-evolution-learning-a-cost-free-weakly-supervised-semantic-segmentation-framework-for-high-resolution-land-cove}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification — https://4ort.xyz/entity/knowledge-evolution-learning-a-cost-free-weakly-supervised-semantic-segmentation-framework-for-high-resolution-land-cove (retrieved 2026-05-24)