SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
Summary
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings is a scholarly article[1].
Key Facts
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings's instance of is recorded as scholarly article[2].
References
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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). SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/surfemb-dense-and-continuous-correspondence-distributions-for-object-pose-estimation-with-learnt-surface-embeddings
MLA“SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/surfemb-dense-and-continuous-correspondence-distributions-for-object-pose-estimation-with-learnt-surface-embeddings.
BibTeX@misc{4ortxyz_surfemb-dense-and-continuous-correspondence-distributions-for-object-pose-estimation-with-learnt-surface-embeddings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/surfemb-dense-and-continuous-correspondence-distributions-for-object-pose-estimation-with-learnt-surface-embeddings}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings — https://4ort.xyz/entity/surfemb-dense-and-continuous-correspondence-distributions-for-object-pose-estimation-with-learnt-surface-embeddings (retrieved 2026-05-24)
