针对建筑元素特征提取不全、相似建筑风格识别困难等问题,提出一种显著区域抑制与多尺度特征融合(salient region suppression and multi-scale feature fusion,SRSMSFF)的建筑风格识别方法。首先,采用改进的Resnet18提取初始建筑特征...针对建筑元素特征提取不全、相似建筑风格识别困难等问题,提出一种显著区域抑制与多尺度特征融合(salient region suppression and multi-scale feature fusion,SRSMSFF)的建筑风格识别方法。首先,采用改进的Resnet18提取初始建筑特征。然后,设计显著区域抑制模块(salient region suppression module,SRSM),通过隐藏最具判别性区域,引导网络学习潜在区域的特征,并设计多尺度特征融合网络(multi-scale feature fusion,MSFF),将多尺度结构与显著区域抑制相结合,以获取更完整的建筑元素特征。接着,利用通道注意力赋予各通道相应的权重,以突出重要的通道信息。最后,大边距度量损失函数(large-margin Softmax loss function,L-Softmax)通过最大化特征嵌入空间的决策边界,改善相似建筑风格的识别。在公共建筑数据集10类、25类及自建中国古建筑数据集上的实验结果表明,本文方法的准确率分别达到80.21%、64.4%和88.21%,其性能优于目前的先进方法。展开更多
This paper takes as its main point of departure a body of empirical research on reading and text processing,and makes particular reference to the type of experiments conducted in Egidi and Gerrig(2006)and Rapp and Ger...This paper takes as its main point of departure a body of empirical research on reading and text processing,and makes particular reference to the type of experiments conducted in Egidi and Gerrig(2006)and Rapp and Gerrig(2006).Broadly put,these experiments(i)explore the psychology of readers’preferences for narrative outcomes,(ii)examine the way readers react to characters’goals and actions,and(iii)investigate how readers tend to identify with characters’goals the more‘urgently’those goals are narrated.The present paper signals how stylistics can productively enrich such experimental work.Stylistics,it is argued,is well equipped to deal with subtle and nuanced variations in textual patterns without losing sight of the broader cognitive and discoursal positioning of readers in relation to these patterns.Making particular reference to what might constitute narrative‘urgency’,the article develops a model which amalgamates different strands of contemporary research in narrative stylistics.This model advances and elaborates three key components:a Stylistic Profi le,a Burlesque Block and a Kuleshov Monitor.Developing analyses of,and informal informant tests on,examples of both fiction and film,the paper calls for a more rounded and sophisticated understanding of style in empirical research on subjects’responses to patterns in narrative.展开更多
文摘针对建筑元素特征提取不全、相似建筑风格识别困难等问题,提出一种显著区域抑制与多尺度特征融合(salient region suppression and multi-scale feature fusion,SRSMSFF)的建筑风格识别方法。首先,采用改进的Resnet18提取初始建筑特征。然后,设计显著区域抑制模块(salient region suppression module,SRSM),通过隐藏最具判别性区域,引导网络学习潜在区域的特征,并设计多尺度特征融合网络(multi-scale feature fusion,MSFF),将多尺度结构与显著区域抑制相结合,以获取更完整的建筑元素特征。接着,利用通道注意力赋予各通道相应的权重,以突出重要的通道信息。最后,大边距度量损失函数(large-margin Softmax loss function,L-Softmax)通过最大化特征嵌入空间的决策边界,改善相似建筑风格的识别。在公共建筑数据集10类、25类及自建中国古建筑数据集上的实验结果表明,本文方法的准确率分别达到80.21%、64.4%和88.21%,其性能优于目前的先进方法。
文摘This paper takes as its main point of departure a body of empirical research on reading and text processing,and makes particular reference to the type of experiments conducted in Egidi and Gerrig(2006)and Rapp and Gerrig(2006).Broadly put,these experiments(i)explore the psychology of readers’preferences for narrative outcomes,(ii)examine the way readers react to characters’goals and actions,and(iii)investigate how readers tend to identify with characters’goals the more‘urgently’those goals are narrated.The present paper signals how stylistics can productively enrich such experimental work.Stylistics,it is argued,is well equipped to deal with subtle and nuanced variations in textual patterns without losing sight of the broader cognitive and discoursal positioning of readers in relation to these patterns.Making particular reference to what might constitute narrative‘urgency’,the article develops a model which amalgamates different strands of contemporary research in narrative stylistics.This model advances and elaborates three key components:a Stylistic Profi le,a Burlesque Block and a Kuleshov Monitor.Developing analyses of,and informal informant tests on,examples of both fiction and film,the paper calls for a more rounded and sophisticated understanding of style in empirical research on subjects’responses to patterns in narrative.
