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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.

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Cite this as

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

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It is available for use in manuscripts, and will be published when the Dataset is made public.

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