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Titlebook: Computer-Aided Design and Computer Graphics; 18th International C Shi-Min Hu,Yiyu Cai,Paul Rosin Conference proceedings 2024 The Editor(s)

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978-981-99-9665-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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,Avant-Garde and Continuity 1887–1986,sed on HigherHRNet, which integrates Residual Feature Augmentation (RFA) and Double Refinement Feature Pyramid Network (DRFPN). Firstly, the introduction of RFA further enriches the semantic information of the multi-scale feature maps. Secondly, with the help of spatial attention mechanism and defor
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Traditional Forms of Credit in Rural China,te the great success in various scenarios, the existing approaches fail to effectively utilize the velocity information in the flow field, resulting in the actual requirements of post-processing tasks being difficult to meet by the extracted features. To fully integrate structural information in the
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Current Conditions of Rural Credit in China,r method encodes CL points as matrices and stores them as text files. We have developed a neural network with an Encoder-Decoder architecture, named EDFP-Net, which takes the encoding matrices as input, extracts deeper features using the Encoder, and recognizes feature points using the Decoder. Our
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