document introduces FLAVA, a foundational vision and language model

that excels in vision, language, and multimodal tasks. Unlike previous

models often focusing on specific modalities or employing either

contrastive or multi-modal approaches but not both, FLAVA uses a unified

transformer architecture and a novel pretraining scheme. This scheme

leverages both unimodal (images and text) and multimodal (image-text

pairs) data, achieving impressive performance across 35 tasks despite

using significantly less data than comparable models. The authors'

open-source approach promotes reproducibility and future research.

FLAVA's architecture incorporates both dual and fusion encoder designs,

further enhancing its versatility and capabilities.