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Knowledge transferred adaptive filter pruning for CNN compression and acceleration

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References

  1. He Y, Kang G L, Dong X Y, et al. Soft filter pruning for accelerating deep convolutional neural networks. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 2018. 2234–2240

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61771201) and Guangzhou Science and Technology Projects (Grant No. 201707010141).

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Authors and Affiliations

  1. School of Electronic and information Engineering, South China University of Technology, Guangzhou, 510641, China

    Lihua Guo, Dawu Chen & Kui Jia

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  1. Lihua Guo
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  2. Dawu Chen
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  3. Kui Jia
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Correspondence to Lihua Guo.

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Guo, L., Chen, D. & Jia, K. Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Sci. China Inf. Sci. 65, 229101 (2022). https://doi.org/10.1007/s11432-020-3162-4

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  • DOI: https://doi.org/10.1007/s11432-020-3162-4

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