Unlabeled samples generated by GAN improve the person re-identification baseline in vitro

doi:doi:10.57702/4mwowvxl

Unlabeled samples generated by GAN improve the person re-identification baseline in vitro

A dataset for unsupervised person re-identification using Generative Adversarial Networks (GANs).

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Zheng, Z., Zheng, L., Yang, Y. (2024). Dataset: Unlabeled samples generated by GAN improve the person re-identification baseline in vitro. https://doi.org/10.57702/4mwowvxl

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.1910.11560
Author	Zheng, Z.
More Authors	Zheng, L. Yang, Y.
Homepage	https://github.com/zhunyizheng/Unlabeled-Samples