Papers with text encoder of CLIP

1 papers
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning (2023.findings-emnlp)

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Challenge: Existing image captioning metrics are vulnerable to lexical perturbations, but they are not robust to such perturbations.
Approach: They propose a perturbation-robust multilingual CLIPScore which is a reference-free image captioning metric for multiple languages.
Outcome: The proposed metric outperforms baseline metrics in capturing lexical noise of all various perturbation types in all five languages while maintaining a strong correlation with human judgments.

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