Generalized Visual Language Models

📰 Lilian Weng's Blog

Generalized Visual Language Models extend pre-trained language models to process images and generate text

advanced Published 9 Jun 2022

Action Steps

Extend pre-trained language models to accept visual inputs
Use a vision encoder to capture visual features from images
Combine visual features with text inputs to generate text outputs
Fine-tune the model on specific vision language tasks

Who Needs to Know This

AI engineers and researchers working on computer vision and NLP tasks can benefit from this approach to improve the accuracy of vision language tasks, such as image captioning and visual question-answering

Key Insight

💡 Generalized Visual Language Models can improve the accuracy of vision language tasks by leveraging pre-trained language models