Lilian Weng • 6/10/2022

Generalized Visual Language Models

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This technical article analyzes approaches for building Generalized Visual Language Models (VLMs). It details four main strategies: jointly training image and text embeddings, using image embeddings as a prefix for frozen language models, integrating visual data via cross-attention, and combining models without training. It uses VisualBERT as a case study, explaining its architecture and training on datasets like MS COCO for tasks like image captioning.

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#Multimodal AI #Bert #Vision Language Models
Generalized Visual Language Models

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