• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 10, 3298 (2022)
Yang ZHANG1、1; 2;, Jun YUE1、1; *;, Shi-xiang JIA1、1;, Zhen-bo LI2、2;, and Guo-rui SHENG1、1;
Author Affiliations
  • 11. School of Information and Electrical Engineering, Ludong University, Yantai 264025, China
  • 22. School of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2022)10-3298-09 Cite this Article
    Yang ZHANG, Jun YUE, Shi-xiang JIA, Zhen-bo LI, Guo-rui SHENG. Recognition of Shellfish Based on Visible Spectrum and Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3298 Copy Citation Text show less
    References

    [2] Y Qi, Z Wang, J L Z Ma. User Intension Understanding from Scratch, Processing and Learning for Intelligent Machines (SPLINE), 1(2016).

    [4] G Li, Z Li, C Zhang et al. Shellfish Detection Based on Fusion Attention Mechanism in End-to-End Network, Proceedings of Pattern Recognition and Computer Vision(PRCV), 516(2019).

    [5] A Mallya, P Molchanov, S Tyree et al. Importance Estimation for Neural Network Pruning, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11264(2019).

    [6] L Zappella, X Suau, V Palakkode et al. Filter Distillation for Network Compression, 2018, arXiv:, 08955(2004).

    [7] H T Zheng, X Zhang, N Ma et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design, European Conference on Computer Vision(ECCV), 116(2018).

    [8] C Lemaire, A Achkar, P-M Jodoin. Structured Pruning of Neural Networks With Budget-Aware Regularization, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9108(2019).

    [9] N Xu, J Yu, L Yang et al. Slimmable Neural Networks, 7th International Conference on Learning Representations, ICLR(2019).

    [10] J Yu, T S Huang. Universally Slimmable Networks and Improved Training Techniques, Proceedings of the IEEE/CVF International Conference on Computer Vision, 1803(2019).

    [11] H Cai, T Wang, C Gan et al. Once-For-All: Train One Network and Specialize It for Efficient Deployment, International Conference on Learning Representations (ICLR), 2020.

    [12] T Yang, S Yan, S Zhu et al. MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution, European Conference on Computer Vision(ECCV), 299(2020).

    [13] C Wu, Z Zhang, H Zhang et al. ResNest: Split-Attention Networks, 2020, arXiv:, 08955(2004).

    Yang ZHANG, Jun YUE, Shi-xiang JIA, Zhen-bo LI, Guo-rui SHENG. Recognition of Shellfish Based on Visible Spectrum and Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3298
    Download Citation