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PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2020) · cited 34× · AI/ML
academia openalex:W2997138816
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PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation

Summary

PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation is a scholarly article[1].

Key Facts

  • PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. Retrieved May 24, 2026, from https://4ort.xyz/entity/psynet-self-supervised-approach-to-object-localization-using-point-symmetric-transformation
MLA “PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/psynet-self-supervised-approach-to-object-localization-using-point-symmetric-transformation.
BibTeX @misc{4ortxyz_psynet-self-supervised-approach-to-object-localization-using-point-symmetric-transformation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation}}, year = {2026}, url = {https://4ort.xyz/entity/psynet-self-supervised-approach-to-object-localization-using-point-symmetric-transformation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation — https://4ort.xyz/entity/psynet-self-supervised-approach-to-object-localization-using-point-symmetric-transformation (retrieved 2026-05-24)

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