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English(EN) DualHash: Stochastic Primal-Dual Algorithms for W-Type Regularized Deep Hashing

DualHash算法增强深度哈希以用于图像检索

研究人员开发了DualHash,这是一种旨在提高深度哈希效率以用于图像检索的新型算法。该方法通过Fenchel对偶重构正则化项,解决了生成二值码中的离散量化挑战。由此产生的最小-最大问题允许进行易于处理的近端更新,从而得到一个具有理论预言机复杂度保证的算法。实验表明,DualHash在标准数据集上实现了具有竞争力的检索精度和较低的量化误差。 AI

影响 提高大规模图像检索系统的效率和准确性。

排序理由 该集群包含一篇详细介绍新算法及其理论保证的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

DualHash算法增强深度哈希以用于图像检索

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该集群包含一篇详细介绍新算法及其理论保证的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Luxuan Li, Xiao Wang, Chunfeng Cui ·

    DualHash:用于W型正则化深度哈希的随机对偶算法

    arXiv:2510.18218v3 Announce Type: replace-cross Abstract: Deep hashing encodes high-dimensional image features into compact binary codes, enabling efficient similarity search in large-scale content-based image retrieval, a problem akin to semantic-preserving lossy compression und…