Results 21 to 30 of about 12,984 (168)
智能科学与技术学报, 2021 针对多光谱行人检测系统存在特征融合质量低、模型超参数多且锚框匹配算法复杂等问题，提出了一种基于差分特征注意力机制的无锚框多光谱行人检测算法。该算法首先采用差分特征感知融合方法挖掘多模态特征间的互补信息来优化通道特征；然后利用具有高效无锚框机制的CenterNet检测框架大大降低了模型计算复杂度，从而提升检测速度；最后引入差分特征注意力机制，改善特征融合质量，进一步提升检测精度。在KAIST、CVC14和FLIR这3个公开数据集上的实验结果表明，提出的算法和其他先进方法相比，能够同时有效提升检测精度和速度，
沈继锋 +4 more
doaj
, 2022 Video understanding is an important task in short video business platforms and it has a wide application in video recommendation and classification. Most of the existing video understanding works only focus on the information that appeared within the ...
Deng, Jiaxin +9 more
core
基于双重注意力变换模型的分布式屋顶光伏变电站级日前功率预测 [PDF]
全球能源互联网分布式屋顶光伏地理位置分散，受地理环境遮挡和多种气象因素影响，导致光伏出力特性存在差异，给变电站级分布式屋顶光伏日前功率预测造成挑战。针对上述问题，提出了一种基于双重注意力变换模型的分布式屋顶光伏变电站级日前功率预测方法。首先，基于动态时间规整算法计算分布式光伏用户出力特性间的相似度，并基于凝聚层次聚类法将其划分成若干类；然后，利用自主注意力网络学习各时间步间的时序关联特性，通道卷积注意力机制学习多特征变量间的相关性，构建日前功率预测模型；最后，将每一类日前预测结果相加，实现变电站级日前功率预测 ...
王光华 +5 more
doaj +1 more source
Text Classification Method Based on Contrastive Learning and Attention Mechanism [PDF]
Text classification is a basic task in the field of natural language processing and plays an important role in information retrieval, machine translation, sentiment analysis, and other applications.
Lai QIAN, Weiwei ZHAO
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Detection method of defective coffee beans based on YOLOv5 [PDF]
, 2023 Objective: To realize the defect detection of coffee beans. Methods: An improved YOLOv5s network was proposed to embed different attention mechanism modules and activation functions with YOLOv5s as the baseline network.
ZHANG Cheng-yao +3 more
core +1 more source
Semi-supervised Classification for Short Text Based on Multi-grained Graphs and Attention Mechanism [PDF]
Sparse and fuzzy semantics, insufficient information, and irregular expressions in short texts pose great challenges to short text classification tasks.
YOU Ben, LI Xiaohong, YAO Jin, FENG Shaojie
core +1 more source
Long Text Generation Adversarial Network Model with Self-Attention Mechanism [PDF]
, 2022 In recent years, the communication between human and computer has reached the inseparable degree, so the natural language processing as interaction technology between human and machine attracts more and more attention from researchers. Text generation is
XIA Hongbin, XIAO Yifei, LIU Yuan
core +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT Multilingual students in Anglophone universities often operate in survival mode. While translanguaging supports learning, critical gaps remain in understanding how translanguaging pedagogies transform and sustain motivation in English‐dominant contexts.
Melissa Jufenna Slamet, Julie Choi
wiley +1 more source
Dizhen xuebao为了提高频散曲线反演算法的精度，本文提出一种将自注意力机制与宽度学习相结合的瑞雷面波频散曲线反演方法。该方法在宽度学习系统的基础上引入自注意力机制，通过注意力加权的方式对提取到的面波特征进行融合与变换，以增强宽度学习系统的特征学习能力，进而实现面波频散曲线的更高精度反演。然后对典型地层模型生成的理论合成数据进行反演测试，结果显示本文所提智能反演算法可高效完成面波频散曲线反演。最后通过实际资料的反演测试验证该方法能够获得地层横波速度的高精度估计结果，有望在工程勘察与浅层地质勘探中得到广泛应用。
Xianna Lu +6 more
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International Journal of Applied Linguistics, EarlyView.ABSTRACT This study examines how foreign language teachers’ beliefs about the medium of instruction and translanguaging evolve over time by revisiting three in‐service teachers twelve years after their initial interviews. Using a qualitative longitudinal design, the study traces how translanguaging was initially framed as pedagogically deficient but ...
Danping Wang
wiley +1 more source