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VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 40× · AI/ML
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Summary
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations is a scholarly article[1].
Key Facts
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations'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). VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/vi-net-boosting-category-level-6d-object-pose-estimation-via-learning-decoupled-rotations-on-the-spherical-representatio
MLA“VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vi-net-boosting-category-level-6d-object-pose-estimation-via-learning-decoupled-rotations-on-the-spherical-representatio.
BibTeX@misc{4ortxyz_vi-net-boosting-category-level-6d-object-pose-estimation-via-learning-decoupled-rotations-on-the-spherical-representatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations}}, year = {2026}, url = {https://4ort.xyz/entity/vi-net-boosting-category-level-6d-object-pose-estimation-via-learning-decoupled-rotations-on-the-spherical-representatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations — https://4ort.xyz/entity/vi-net-boosting-category-level-6d-object-pose-estimation-via-learning-decoupled-rotations-on-the-spherical-representatio (retrieved 2026-05-24)
