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Re-ViLM: Efficient Image Captioning Model by Dũng Minh Vũ is a document available to read on EtoBox.

What is Re-ViLM: Efficient Image Captioning Model about?

The document introduces Re-ViLM, a Retrieval-Augmented Visual Language Model designed for zero and few-shot image captioning, which enhances the performance of existing models like Flamingo by utilizing external knowledge retrieval. This approach reduces model parameters and improves efficiency in incorporating new data, demonstrating significant performance boosts, particularly in zero-shot and few-shot scenarios. The paper outlines the architecture of Re-ViLM, its components, and presents extensive experi

Author

Dũng Minh Vũ

Language

EN