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English(EN) CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators

CHASM 混合器改进了用于视觉任务的频谱令牌算子

研究人员开发了 CHASM,这是一种新颖的频谱令牌混合器,旨在改进视觉特征图中的全局交互建模。CHASM 使用共享的学习基数跨不同频率协调通道方向,同时保留特定频率的正频谱增益。当用作现有混合器的替代品时,这种方法在 MRI 重建和分割等任务中始终能提高性能。 AI

影响 引入了一种新的频谱令牌算子方法,提高了 MRI 重建等视觉任务的性能。

排序理由 该集群包含一篇详细介绍频谱令牌算子新颖方法的学术论文。[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 →

CHASM 混合器改进了用于视觉任务的频谱令牌算子

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该集群包含一篇详细介绍频谱令牌算子新颖方法的学术论文。[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) · Xiaohao Cai ·

    CHASM:跨频率协调轴分离混合用于光谱令牌算子

    Spectral token mixers based on Fourier transforms provide an efficient way to model global interactions in visual feature maps. Existing designs often either apply filter-wise spectral responses along fixed channel axes, or learn adaptive frequency-indexed channel mixing without …