Measuring Text-Image Retrieval Fairness with Synthetic Data.

Lluís Gómez


Anthology ID:DBLP:conf/sigir/Gomez25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:527-538
URL:https://doi.org/10.1145/3726302.3730030
DOI:https://doi.org/10.1145/3726302.3730030
DBLP:conf/sigir/Gomez25
BibTeX:
@inproceedings{gomez-2025-measuring, author = {Llu\'{i}s G\'{o}mez}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Measuring Text-Image Retrieval Fairness with Synthetic Data}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {527--538}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730030}, doi = {https://doi.org/10.1145/3726302.3730030} }