Papers with visual-semantic embedding space

1 papers
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations (D19-1)

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Challenge: Recent studies have advanced learning VSE under the monolingual setup.
Approach: They propose a model with diverse multi-head attention to learn grounded multilingual multimodal representations by leveraging visual object detection.
Outcome: The proposed model performs well in German-Image and English-Image matching tasks and in the Semantic Textual Similarity task with English descriptions of visual content.

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