Papers with style-aware contrastive learning

1 papers
Style-Aware Contrastive Learning for Multi-Style Image Captioning (2023.findings-eacl)

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Challenge: Existing multi-style image captioning methods focus on visual content and style . existing methods overlook the relationship between linguistic style and visual content.
Approach: They propose a style-aware visual encoder with contrastive learning to mine potential visual content relevant to style and a triplet contrast objective to distinguish whether the image, style and caption matched.
Outcome: The proposed method achieves state-of-the-art performance and an extensive analysis to verify its effectiveness.

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