Papers with phrase localization

2 papers
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition (2024.findings-acl)

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Challenge: Existing methods for Grounded Multimodal Named Entity Recognition (GMNER) lack a strong correlation between image-text pairs and is ungroundable.
Approach: They propose a framework that reformulates GMNER into a joint MNER-VE-VG task by leveraging large language models as a connecting bridge.
Outcome: The proposed framework outperforms state-of-the-art methods on the existing GMNER dataset and achieves absolute leads of 10.65%, 6.21%, and 8.83% in all three subtasks.
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking (2020.lrec-1)

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Challenge: Existing multimodal corpora lack the ability to be used in multilingual or non-English scenarios.
Approach: They extend a Flickr30k Entities image-caption dataset with Japanese translations to provide a multilingual corpus.
Outcome: The proposed dataset is the first multilingual image-caption dataset with Japanese translations.

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