English(EN) Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognition

掩码语言提示增强了少样本时尚风格识别能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-08 04:00

研究人员开发了一种名为掩码语言提示（MLP）的新方法，以改进用于少样本时尚风格识别的生成数据增强。该技术会掩盖参考标题中的单词，并利用大型语言模型生成多样化、风格一致的图像补全。在FashionStyle14数据集上的实验表明，MLP的性能显著优于仅依赖类别名称或基本标题的现有方法。 AI

影响引入了一种新颖的提示策略，增强了有限数据识别任务的生成数据增强能力。

排序理由这是一篇研究论文，详细介绍了用于生成数据增强的新颖提示策略。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Yuki Hirakawa, Ryotaro Shimizu · 2026-05-08 04:00

生成式数据增强的掩码语言提示在少样本时尚风格识别中的应用

arXiv:2504.19455v2 Announce Type: replace Abstract: Constructing dataset for fashion style recognition is challenging due to the inherent subjectivity and ambiguity of style concepts. Recent advances in text-to-image models have facilitated generative data augmentation by synthes…