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Causal Circular Narrative and Time-Space Construction of the Movie Little Big Woman
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作者 ZHAO Zhi-qing 《Journal of Literature and Art Studies》 2023年第2期122-128,共7页
Chinese film Little Big Woman takes the father’s funeral as the main line to tell the story of family affection and real-life emotional entanglements.In the narrative with multiple clues,we go back to find the hidden... Chinese film Little Big Woman takes the father’s funeral as the main line to tell the story of family affection and real-life emotional entanglements.In the narrative with multiple clues,we go back to find the hidden reasons,and the gradually clear reflection of the past is related to the real situation of the characters.Causal cycle narrative is not only a narrative strategy,but also a narrative logic with deep Chinese traditional cultural and philosophical connotations. 展开更多
关键词 Little Big Woman CAUSALITY temporal and spatial processing narrative thread
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The Roles and Responsibilities of the Educational Researcher
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作者 Shiyun Wang Pengju Zhu 《教育研究前沿(中英文版)》 2013年第3期92-95,共4页
关键词 摘要 编辑部 编辑工作 读者
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Cycle GAN-MF:A Cycle-consistent Generative Adversarial Network Based on Multifeature Fusion for Pedestrian Re-recognition 被引量:3
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作者 Yongqi Fan Li Hang Botong Sun 《IJLAI Transactions on Science and Engineering》 2024年第1期38-45,共8页
In pedestrian re-recognition,the traditional pedestrian re-recognition method will be affected by the changes of background,veil,clothing and so on,which will make the recognition effect decline.In order to reduce the... In pedestrian re-recognition,the traditional pedestrian re-recognition method will be affected by the changes of background,veil,clothing and so on,which will make the recognition effect decline.In order to reduce the impact of background,veil,clothing and other changes on the recognition effect,this paper proposes a pedestrian re-recognition method based on the cycle-consistent generative adversarial network and multifeature fusion.By comparing the measured distance between two pedestrians,pedestrian re-recognition is accomplished.Firstly,this paper uses Cycle GAN to transform and expand the data set,so as to reduce the influence of pedestrian posture changes as much as possible.The method consists of two branches:global feature extraction and local feature extraction.Then the global feature and local feature are fused.The fused features are used for comparison measurement learning,and the similarity scores are calculated to sort the samples.A large number of experimental results on large data sets CUHK03 and VIPER show that this new method reduces the influence of background,veil,clothing and other changes on the recognition effect. 展开更多
关键词 Pedestrian re-recognition Cycle-consistent generative adversarial network Multifeature fusion Global feature extraction Local feature extraction
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