Learning Graph Embeddings for Compositional Zero-shot Learning

Naeem, Muhammad Ferjad; Xian, Yongqin; Tombari, Federico; Akata, Zeynep

doi:10.1109/CVPR46437.2021.00101

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Learning Graph Embeddings for Compositional Zero-shot Learning

MPS-Authors

/persons/resource/persons180947

Xian, Yongqin
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons127761

Akata, Zeynep
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Naeem_Learning_Graph_Embeddings_for_Compositional_Zero-Shot_Learning_CVPR_2021_paper-2.pdf
(Preprint), 11MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Naeem, M. F., Xian, Y., Tombari, F., & Akata, Z. (2021). Learning Graph Embeddings for Compositional Zero-shot Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 953-962). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.00101.

Cite as: https://hdl.handle.net/21.11116/0000-0008-1542-6

Abstract

There is no abstract available