NUS-WIDE dataset

The NUS-WIDE dataset is a large-scale image-text dataset, which is suitable for feature-partitioned collaborative learning. The dataset contains 100,000 images with 1000 text features, and is used to evaluate the performance of the proposed feature-partitioned collaborative learning framework.

Data and Resources

Cite this as

Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim (2024). Dataset: NUS-WIDE dataset. https://doi.org/10.57702/v9bnqeqp

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2007.03608
Citation
  • https://doi.org/10.48550/arXiv.2404.00384
  • https://doi.org/10.48550/arXiv.1511.05659
Author Sanghyun Jo
More Authors
Soohyun Ryu
Sungyub Kim
Eunho Yang
Kyungsu Kim
Homepage https://github.com/shjo-april/TTD