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Yo'LLaVA Dataset
A dataset of 40 personalized subjects: Person (10), Pets (5), Landmarks (5), Objects (15), and Fiction Characters (5).
The dataset is divided into train and test splits. The number of images per subject varies from 10-20 images.
@inproceedings{yochameleon,
author = {Thao Nguyen and Krishna Kumar Singh and Jing Shi and Trung Bui and Yong Jae Lee and Yuheng Li},
title = {Yo\textquotesingle Chameleon: Personalized Vision and Language Generation},
year = {2025},
booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{yollava,
author = {Nguyen, Thao and Liu, Haotian and Li, Yuheng and Cai, Mu and Ojha, Utkarsh and Lee, Yong Jae},
booktitle = {Advances in Neural Information Processing Systems},
title = {Yo\textquotesingle LLaVA: Your Personalized Language and Vision Assistant},
year = {2024}
}
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