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

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

DOI retrieved: December 17, 2024

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