article · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela
Cited by 459Abstract and details only
Abstract
State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks. Generally, such models are often either cross-modal (contrastive) or multi-modal (with earlier fusion) but not both; and they often only target specific modalities or tasks. A promising direction would be to use a single holistic universal model, as a “foundation”, that targets all modalities at once-a true vision and language foundation model should be good at vision tasks, language tasks, and cross- and multi-modal vision and language tasks. We introduce FLAVA as such a model and demonstrate impressive performance on a wide range of 35 tasks spanning these target modalities.
Cite this paper
Singh, A., Hu, R., Goswami, V., Couairon, G., Galuba, W., Rohrbach, M., & Kiela, D. (2022). FLAVA: A Foundational Language And Vision Alignment Model. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15617–15629. https://doi.org/10.1109/cvpr52688.2022.01519
Singh, Amanpreet, et al. “FLAVA: A Foundational Language And Vision Alignment Model.” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 15617–29, https://doi.org/10.1109/cvpr52688.2022.01519.
Singh, Amanpreet, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, and Douwe Kiela. 2022. “FLAVA: A Foundational Language And Vision Alignment Model.” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): 15617–29. https://doi.org/10.1109/cvpr52688.2022.01519.
Singh, A. et al. (2022) ‘FLAVA: A Foundational Language And Vision Alignment Model’, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15617–15629. Available at: https://doi.org/10.1109/cvpr52688.2022.01519.
@article{singh2022flava,
title = {{FLAVA: A Foundational Language And Vision Alignment Model}},
author = {Singh, Amanpreet and Hu, Ronghang and Goswami, Vedanuj and Couairon, Guillaume and Galuba, Wojciech and Rohrbach, Marcus and Kiela, Douwe},
journal = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {15617--15629},
year = {2022},
doi = {10.1109/cvpr52688.2022.01519}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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