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COMBINER网络通过基于属性的邻居关系改进图像检索

研究人员开发了COMBINER,一种用于组合图像检索的新型网络,解决了视觉相似但语义不同的图像的挑战。该系统利用属性原型创建统一的跨模态表示,解耦语义特征并有效地组合它们。通过采用基于属性原型的相似性度量,该方法提高了对图像之间语义关系的理解,在基准数据集上优于现有方法。 AI

影响 通过更好地区分具有不同属性的视觉相似图像来增强图像检索系统。

排序理由 该集群包含一篇详细介绍图像检索新方法的学术论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

COMBINER网络通过基于属性的邻居关系改进图像检索

报道来源 [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    COMBINER:基于属性的邻居关系引导的组合图像检索

    Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images appear visually alike yet differ in attributes, po…

  2. arXiv cs.CV TIER_1 English(EN) · Zixu Li, Yupeng Hu, Zhiwei Chen, Haokun Wen, Xuemeng Song, Liqiang Nie ·

    COMBINER:基于属性邻居关系引导的组合图像检索

    arXiv:2606.04604v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images ap…

  3. arXiv cs.CV TIER_1 English(EN) · Liqiang Nie ·

    COMBINER:基于属性邻居关系引导的组合图像检索

    Composed Image Retrieval (CIR) represents a challenging retrieval task that targets locating specific images through multimodal inputs. Despite recent progress in CIR techniques, prior approaches often overlook cases where images appear visually alike yet differ in attributes, po…