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English(EN) XPASS-Vis: A Dataset for Cross-Domain Personalized Image Aesthetic Assessment

新数据集XPASS-Vis支持跨领域个性化图像美学评估

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了XPASS-Vis，一个旨在探索跨不同视觉领域的个性化图像美学评估的新型数据集。该数据集包含来自艺术、时尚和风景类别的 6,500 多张图像，由 129 名标注者进行评分。使用无监督域自适应进行的初步实验表明，个性化美学偏好可以以中等程度的成功跨领域转移，尽管在 PIAA 特定自适应策略方面仍存在显著差距。 AI

排序理由 该集群描述了一个新的学术数据集和在 arXiv 上发表的相关研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新数据集XPASS-Vis支持跨领域个性化图像美学评估

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该集群描述了一个新的学术数据集和在 arXiv 上发表的相关研究论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Takato Hayashi, Hiroaki Takahara, Candy Olivia Mawalim, Hiromi Narimatsu, Akisato Kimura, Shiro Kumano, Shogo Okada ·

    XPASS-Vis：跨领域个性化图像美学评估数据集

    arXiv:2606.15629v1 Announce Type: new Abstract: Personalized image aesthetic assessment (PIAA) seeks to model, at the individual level, the subjective nature of aesthetic judgments toward artworks and photographs. Aesthetic preference is known to be both deeply personal and parti…

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