Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?-Reference-Cited by-同舟云学术

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Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?

Published:2024 Issue: Volume: Page:161-176
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Rodriguez Juan Manuel^ORCID,Tavassoli Nima,Levy Eliezer,Lederman Gil,Sivov Dima,Lissandrini Matteo^ORCID,Mottin Davide^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56066-8_15

Reference36 articles.

1. ACM (2020). Artifact review and badging - current. https://www.acm.org/publications/policies/artifact-review-and-badging-current

2. Aguinis, H., Villamor, I., Ramani, R.S.: MTurk research: review and recommendations. J. Manag. 47(4), 823–837 (2021)

3. Alemu, Y., Koh, J.B., Ikram, M., Kim, D.K.: Image retrieval in multimedia databases: a survey. In: 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 681–689 (2009)

4. Lecture Notes in Computer Science;E Bassani,2022

5. Blattmann, A., Rombach, R., Oktay, K., Müller, J., Ommer, B.: Retrieval-augmented diffusion models. In: Advances in Neural Information Processing Systems, vol. 35, pp. 15309–15324 (2022)

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