Papers with Manual creation

1 papers
“Let’s not Quote out of Context”: Unified Vision-Language Pretraining for Context Assisted Image Captioning (2023.acl-industry)

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Challenge: Large enterprises have several teams to create their content for the purpose of marketing, campaigning, or even maintaining a brand presence.
Approach: They propose a new unified Vision-Language (VL) model with a focus on context-assisted image captioning where the caption is generated based on both the image and its context.
Outcome: The proposed model achieves state-of-the-art with an improvement of up to 8.34 CIDEr score on the benchmark news image captioning datasets.

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