Dynamic connection pruning for densely connected convolutional neural networks

Xinyi Hu; Hangxiang Fang; Ling Zhang; Xue Zhang; Howard H. Yang; Dongxiao Yang; Bo Peng; Zheyang Li; Haoji Hu

doi:10.1007/s10489-023-04513-8

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JOURNAL ARTICLE

Dynamic connection pruning for densely connected convolutional neural networks

Xinyi Hu Hangxiang Fang Ling Zhang Xue Zhang Howard H. Yang Dongxiao Yang Bo Peng Zheyang Li Haoji Hu

Year: 2023 Journal: Applied Intelligence Vol: 53 (16)Pages: 19505-19521 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-023-04513-8

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Keywords:

Computer science Pruning Redundancy (engineering) Convolutional neural network FLOPS Process (computing) Generality Artificial intelligence Machine learning Parallel computing

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Dynamic connection pruning for densely connected convolutional neural networks

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