Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Yijie Pan,Jiayang Guo Conference proceedin

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https://doi.org/10.1007/978-3-322-82874-3ution decomposes 3D convolutions into 2D and 1D channels, which can effectively reduce the number of parameters. Compared to traditional deep learning models, experimental results have shown the proposed model is superior to others in performance on several benchmark datasets.

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參考書目

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支形吊燈

,?konomische Theorie der Politik,a fixed feature extractor and training the generator to produce samples with a more uniform distribution of identity. In both our own framework and that of others, it can provide stronger constraints. Meanwhile, we design an Explicit Decoupling Network (EDN) along with its corresponding guiding func

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