In order to improve the models capability in expressing features during few-shot learning,a multi-scale features prototypical network(MS-PN)algorithm is proposed.The metric learning algo-rithm is employed to extract i...In order to improve the models capability in expressing features during few-shot learning,a multi-scale features prototypical network(MS-PN)algorithm is proposed.The metric learning algo-rithm is employed to extract image features and project them into a feature space,thus evaluating the similarity between samples based on their relative distances within the metric space.To sufficiently extract feature information from limited sample data and mitigate the impact of constrained data vol-ume,a multi-scale feature extraction network is presented to capture data features at various scales during the process of image feature extraction.Additionally,the position of the prototype is fine-tuned by assigning weights to data points to mitigate the influence of outliers on the experiment.The loss function integrates contrastive loss and label-smoothing to bring similar data points closer and separate dissimilar data points within the metric space.Experimental evaluations are conducted on small-sample datasets mini-ImageNet and CUB200-2011.The method in this paper can achieve higher classification accuracy.Specifically,in the 5-way 1-shot experiment,classification accuracy reaches 50.13%and 66.79%respectively on these two datasets.Moreover,in the 5-way 5-shot ex-periment,accuracy of 66.79%and 85.91%are observed,respectively.展开更多
本文从职场生活质量(Quality of Work Life,QWL)的视角描绘高校青年教师的职场生存现状。依据对30位青年教师的深度访谈,发现学校制度是影响青年教师QWL的根本性因素;学科平台的地位与声望对青年教师如何评价自身QWL起到了调节器作用;...本文从职场生活质量(Quality of Work Life,QWL)的视角描绘高校青年教师的职场生存现状。依据对30位青年教师的深度访谈,发现学校制度是影响青年教师QWL的根本性因素;学科平台的地位与声望对青年教师如何评价自身QWL起到了调节器作用;而职场人际关系则是影响教师QWL的重要情感因素。本文认为测量和评价高校青年教师职场生活质量除了考虑已有文献中所关注的内在诉求和外在诉求相关指标外,还应该基于高校教师职业的特征,从学校制度、学科平台以及职场人际关系这几大要素来综合衡量。展开更多
基金the Scientific Research Foundation of Liaoning Provincial Department of Education(No.LJKZ0139)the Program for Liaoning Excellent Talents in University(No.LR15045).
文摘In order to improve the models capability in expressing features during few-shot learning,a multi-scale features prototypical network(MS-PN)algorithm is proposed.The metric learning algo-rithm is employed to extract image features and project them into a feature space,thus evaluating the similarity between samples based on their relative distances within the metric space.To sufficiently extract feature information from limited sample data and mitigate the impact of constrained data vol-ume,a multi-scale feature extraction network is presented to capture data features at various scales during the process of image feature extraction.Additionally,the position of the prototype is fine-tuned by assigning weights to data points to mitigate the influence of outliers on the experiment.The loss function integrates contrastive loss and label-smoothing to bring similar data points closer and separate dissimilar data points within the metric space.Experimental evaluations are conducted on small-sample datasets mini-ImageNet and CUB200-2011.The method in this paper can achieve higher classification accuracy.Specifically,in the 5-way 1-shot experiment,classification accuracy reaches 50.13%and 66.79%respectively on these two datasets.Moreover,in the 5-way 5-shot ex-periment,accuracy of 66.79%and 85.91%are observed,respectively.
文摘本文从职场生活质量(Quality of Work Life,QWL)的视角描绘高校青年教师的职场生存现状。依据对30位青年教师的深度访谈,发现学校制度是影响青年教师QWL的根本性因素;学科平台的地位与声望对青年教师如何评价自身QWL起到了调节器作用;而职场人际关系则是影响教师QWL的重要情感因素。本文认为测量和评价高校青年教师职场生活质量除了考虑已有文献中所关注的内在诉求和外在诉求相关指标外,还应该基于高校教师职业的特征,从学校制度、学科平台以及职场人际关系这几大要素来综合衡量。
