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English(EN) SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment

CrossWeaver框架实现任意模态语义分割

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出CrossWeaver，一个用于使用任意感官模态组合进行语义分割的新型框架。该框架的关键组件包括用于选择性跨模态交互的模态交互块（MIB）和用于特征聚合的接缝对齐融合（SAF）模块。在各种基准测试上的实验表明，CrossWeaver在参数增加极少的情况下取得了最先进的成果，并展示了对未见模态配对的强大泛化能力。 AI

影响 该框架可以增强依赖于整合多种传感器类型数据的AI系统的灵活性和性能。

排序理由 该集群包含一篇详细介绍新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

CrossWeaver框架实现任意模态语义分割

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该集群包含一篇详细介绍新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Xinyu Mao, Junsi Li, Haoji Zhang, Yu Liang, Ming Sun ·

    SEPS：用于细粒度跨模态对齐的语义增强补丁精简框架

    arXiv:2511.01390v2 Announce Type: replace-cross Abstract: Fine-grained cross-modal alignment aims to establish precise local correspondences between vision and language, forming a cornerstone for visual question answering and related multimodal applications. Current approaches fa…

  2. arXiv cs.CV TIER_1 English(EN) · Zelin Zhang, Kedi Li, Huiqi Liang, Chuanzhi Xu, Tao Zhang, Weidong Cai ·

    CrossWeaver：跨模态编织，用于任意模态语义分割

    arXiv:2604.02948v2 Announce Type: replace Abstract: Multimodal semantic segmentation has shown great potential in leveraging complementary information across diverse sensing modalities. However, existing approaches often rely on carefully designed fusion strategies that either us…

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