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Multimodal Search on Iconclass using Vision-Language Pre-Trained Models
Cristian Santini, Etienne Posthumus, Mary Ann Tan et al., 2023. arXiv.
Uses vision-language models to search Iconclass, the classification system for subjects in art, by both text and image.
What it's used for here
Listed in the bibliography of the methods survey on emerging methods.
Cited by on this site 1 record
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SRCMathematics
Cite it
Santini, C., Posthumus, E., Tan, M. A., Bruns, O., Tietz, T., & Sack, H. (2023). Multimodal Search on Iconclass using Vision-Language Pre-Trained Models. arXiv. https://arxiv.org/abs/2306.16529
@article{santini2023multimodal,
author = {Santini, Cristian and Posthumus, Etienne and Tan, Mary Ann and Bruns, Oleksandra and Tietz, Tabea and Sack, Harald},
title = {Multimodal Search on Iconclass using Vision-Language Pre-Trained Models},
journal = {arXiv},
year = {2023},
url = {https://arxiv.org/abs/2306.16529}
}TY - GEN TI - Multimodal Search on Iconclass using Vision-Language Pre-Trained Models AU - Santini, Cristian AU - Posthumus, Etienne AU - Tan, Mary Ann AU - Bruns, Oleksandra AU - Tietz, Tabea AU - Sack, Harald PY - 2023 JO - arXiv UR - https://arxiv.org/abs/2306.16529 ER -
Santini, Cristian et al.. “Multimodal Search on Iconclass using Vision-Language Pre-Trained Models.” arXiv (2023).