Papers with Vision-Language Pretraining

1 papers
An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models (2022.emnlp-demos)

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Challenge: Existing studies evaluate VLP models by comparing the fine-tuned downstream task performance with the average downstream task accuracy.
Approach: They propose a toolbox for evaluating Vision-Language Pretraining (VLP) models.
Outcome: The proposed toolbox provides the preliminary datasets that deepen the image-texting ability of a VLP model.

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