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多视角解耦增强整合的细粒度分类算法
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作者 孟月波 王博 刘光辉 《高技术通讯》 北大核心 2024年第12期1266-1278,共13页
针对细粒度图像分类中由于背景环境、光照条件、样本姿态和拍摄角度等外部因素导致类内差异显著增加的问题,本文提出了多视角解耦增强整合的细粒度分类算法。首先,为了降低图像中外部因素的干扰,设计多视角注意力(MPA)模块,此模块通过... 针对细粒度图像分类中由于背景环境、光照条件、样本姿态和拍摄角度等外部因素导致类内差异显著增加的问题,本文提出了多视角解耦增强整合的细粒度分类算法。首先,为了降低图像中外部因素的干扰,设计多视角注意力(MPA)模块,此模块通过将模型分解为数个视角,迫使每个视角关注不同尺度,实现干扰因素的解耦,并通过对特征进行自注意力建模,引导各个视角进一步挖掘关键特征。其次,提出递进式动态加权融合(PDWF)策略,旨在有效整合解耦后的多个视角信息,该策略通过获取不同视角下通道和空间关系动态调整融合系数,实现多尺度信息的高阶融合。最后,采用递进式训练方法促进视角交互,进一步捕获和整合多尺度特征的互补语义信息。在CUB-200-2011、StanfordCars、FGVC-Aircraft公开数据集上进行实验,实验结果表明所提方法分类准确率分别达到90.5%、95.5%和94.2%,优于当前细粒度图像分类任务主流方法。 展开更多
关键词 细粒度 多视角注意力(MPA) 递进式动态加权融合(PDWF) 图像分类
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Robust Wannierization including magnetization and spin-orbit coupling via projectability disentanglement
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作者 Yuhao Jiang Junfeng Qiao +3 位作者 Nataliya Paulish Weisheng Zhao Nicola Marzari Giovanni Pizzi 《npj Computational Materials》 2025年第1期3831-3841,共11页
Maximally-localized Wannier functions(MLWFs)are widely employed as an essential tool for calculating the physical properties of materials due to their localized nature and computational efficiency.Projectability-disen... Maximally-localized Wannier functions(MLWFs)are widely employed as an essential tool for calculating the physical properties of materials due to their localized nature and computational efficiency.Projectability-disentangled Wannier functions(PDWFs)have recently emerged as a reliable and efficient approach for automatically constructing MLWFs that span both occupied and lowest unoccupied bands.Here,we extend the applicability of PDWFs to magnetic systems and/or those including spin-orbit coupling,and implement such extensions in automated workflows.Furthermore,we enhance the robustness and reliability of constructing PDWFs by defining an extended protocol that automatically expands the projectors manifold,when required,by introducing additional appropriate hydrogenic atomic orbitals.We benchmark our extended protocol on a set of 200 chemically diverse materials,as well as on the 40 systems with the largest band distance obtained with the standard PDWF approach,showing that on our test set the present approach delivers a success rate of over 98%in obtaining accurate Wannier-function interpolations,defined as an average band distance below20 meV between the DFT and Wannier-interpolated bands,up to 2 eV above the Fermi level for metals or above the conduction band minimum for insulators(and a 100%success rate when including only bands up to 1 eV above these values). 展开更多
关键词 magnetization projectability disentanglement magnetic systems pdwfs calculating physical properties materials spin orbit coupling robust wannierization maximally localized wannier functions
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