Papers with cross-modal similarity

1 papers
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning (2022.emnlp-main)

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Challenge: Existing image captioning approaches treat image-caption pairs indistinctly without considering the differences in their learning difficulties.
Approach: They propose a pretrained vision–language model that measures cross-modal similarity and a model that uses cross-module similarity to measure the difficulty of captioning.
Outcome: The proposed model achieves superior performance and competitive convergence speed to baselines without incurring additional training costs.

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