Masked Language Prompting enhances few-shot fashion style recognition

Researchers have developed a new method called Masked Language Prompting (MLP) to improve generative data augmentation for few-shot fashion style recognition. This technique masks words in reference captions and uses large language models to generate diverse, style-consistent image completions. Experiments on the FashionStyle14 dataset showed that MLP significantly outperforms existing methods that rely solely on class names or basic captions. AI

影响 Introduces a novel prompting strategy that enhances generative data augmentation for limited-data recognition tasks.

排序理由 This is a research paper detailing a novel prompting strategy for generative data augmentation. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

• arXiv
• FashionStyle14
• Masked Language Prompting
• Yuki Hirakawa

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