Deep point-to-subspace metric learning for sketch-based 3D shape retrieval

Research article (Pattern Recognition, 2019) · cited 51× · AI/ML
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Deep point-to-subspace metric learning for sketch-based 3D shape retrieval is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Retrieved October 18, 2026, from https://4ort.xyz/entity/deep-point-to-subspace-metric-learning-for-sketch-based-3d-shape-retrieval
MLA “Deep point-to-subspace metric learning for sketch-based 3D shape retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/deep-point-to-subspace-metric-learning-for-sketch-based-3d-shape-retrieval.
BibTeX @misc{4ortxyz_deep-point-to-subspace-metric-learning-for-sketch-based-3d-shape-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep point-to-subspace metric learning for sketch-based 3D shape retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/deep-point-to-subspace-metric-learning-for-sketch-based-3d-shape-retrieval}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep point-to-subspace metric learning for sketch-based 3D shape retrieval — https://4ort.xyz/entity/deep-point-to-subspace-metric-learning-for-sketch-based-3d-shape-retrieval (retrieved 2026-10-18)

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