Leveraging Equivariant Features for Absolute Pose Regression

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 28× · AI/ML
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Leveraging Equivariant Features for Absolute Pose Regression

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Leveraging Equivariant Features for Absolute Pose Regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Equivariant Features for Absolute Pose Regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-equivariant-features-for-absolute-pose-regression
MLA “Leveraging Equivariant Features for Absolute Pose Regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-equivariant-features-for-absolute-pose-regression.
BibTeX @misc{4ortxyz_leveraging-equivariant-features-for-absolute-pose-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Equivariant Features for Absolute Pose Regression}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-equivariant-features-for-absolute-pose-regression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Equivariant Features for Absolute Pose Regression — https://4ort.xyz/entity/leveraging-equivariant-features-for-absolute-pose-regression (retrieved 2026-05-24)

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