FLAVA: A Foundational Language And Vision Alignment Model
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.
PDF Abstract CVPR 2022 PDF CVPR 2022 Abstract
Colab
MS COCO
GLUE
SST
MultiNLI
Visual Genome
QNLI
MRPC
CoLA
BookCorpus
Conceptual Captions
YFCC100M
Hateful Memes
Localized Narratives
RedCaps
