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This paper critiques modern image captioning models for producing generic and often inaccurate captions, highlighting their tendency to favor common concepts over unique details. It introduces a new metric, SPICE-U, which measures the uniqueness and descriptiveness of captions, showing better correlation with human judgments than existing metrics. Additionally, the authors propose techniques to enhance captioning models by maximizing mutual information during decoding, resulting in more informative captions

Author
a471k
Language
EN

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