You're currently viewing an old version of this dataset. To see the current version, click here.

Contrastive Multiple Instance Learning for Weakly Supervised Person ReID

The acquisition of large-scale, precisely labeled datasets for person re-identification (ReID) poses a significant challenge. Weakly supervised ReID has begun to address this issue, although its performance lags behind fully supervised methods.

Data and Resources

This dataset has no data

Cite this as

Jacob Tyo, Zachary C. Lipton (2024). Dataset: Contrastive Multiple Instance Learning for Weakly Supervised Person ReID. https://doi.org/10.57702/ofi31d1f

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2402.07685
Author	Jacob Tyo
More Authors	Zachary C. Lipton
Homepage	https://drive.google.com/file/d/1rjMbWB6m-apHF3Wg_cfqc8QqKgQ21AsT/view?usp=drive_link