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Empirische Inferenz Conference Paper 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

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Empirische Inferenz
Zeynep Akata
  • Research Scientist

Author(s): Karthik, S. and Mancini, M. and Akata, Z.
Book Title: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Pages: 9336--9345
Year: 2022
Month: June
Bibtex Type: Conference Paper (conference)
Event Place: New Orleans, Louisiana
State: Published
URL: https://openaccess.thecvf.com/content/CVPR2022/papers/Karthik_KG-SP_Knowledge_Guided_Simple_Primitives_for_Open_World_Compositional_Zero-Shot_CVPR_2022_paper.pdf
Electronic Archiving: grant_archive
Supplement: https://openaccess.thecvf.com/content/CVPR2022/supplemental/Karthik_KG-SP_Knowledge_Guided_CVPR_2022_supplemental.pdf
Links:

BibTex 

@conference{KarManAka22,
  title = {KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {9336--9345},
  month = jun,
  year = {2022},
  slug = {karmanaka22},
  author = {Karthik, S. and Mancini, M. and Akata, Z.},
  url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Karthik_KG-SP_Knowledge_Guided_Simple_Primitives_for_Open_World_Compositional_Zero-Shot_CVPR_2022_paper.pdf},
  month_numeric = {6}
}