CLIPScore uses a web-pretrained CLIP model to evaluate image captions without references and achieves higher human correlation than CIDEr or SPICE.
Evaluating clip: towards characterization of broader capabilities and downstream implications.arXiv preprint arXiv:2108.02818
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Reward models used as quality scorers in text-to-image generation encode demographic biases that cause reward-guided training to sexualize female subjects, reinforce stereotypes, and reduce diversity.
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CLIPScore: A Reference-free Evaluation Metric for Image Captioning
CLIPScore uses a web-pretrained CLIP model to evaluate image captions without references and achieves higher human correlation than CIDEr or SPICE.