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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.

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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

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