DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points

Research article (2022 26th International Conference on Pattern Recognition (ICPR), 2022) · cited 18× · AI/ML
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DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points

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DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points. Retrieved May 24, 2026, from https://4ort.xyz/entity/densegap-graph-structured-dense-correspondence-learning-with-anchor-points
MLA “DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/densegap-graph-structured-dense-correspondence-learning-with-anchor-points.
BibTeX @misc{4ortxyz_densegap-graph-structured-dense-correspondence-learning-with-anchor-points_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points}}, year = {2026}, url = {https://4ort.xyz/entity/densegap-graph-structured-dense-correspondence-learning-with-anchor-points}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points — https://4ort.xyz/entity/densegap-graph-structured-dense-correspondence-learning-with-anchor-points (retrieved 2026-05-24)

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