Papers by Austin Waters

1 papers
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO (2021.eacl-main)

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Challenge: Existing image captioning datasets have limited cross-modal associations, preventing researchers from examining how inter-modal learning impacts intra-modal tasks.
Approach: They propose to use image captioning data to support multi-modal retrieval training and evaluation to assess the impact of inter-modality learning.
Outcome: The proposed model is able to measure the influence of intra- and inter-modality learning.

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