• Infrared and Laser Engineering
  • Vol. 50, Issue 8, 20200510 (2021)
Weipeng Li, Xiaogang Yang, Chuanxiang Li, Ruitao Lu, Xueli Xie, and Chuan He
Author Affiliations
  • Institute of Missile Engineering, Rocket Force Engineering University, Xi’an 710025, China
  • show less
    DOI: 10.3788/IRLA20200510 Cite this Article
    Weipeng Li, Xiaogang Yang, Chuanxiang Li, Ruitao Lu, Xueli Xie, Chuan He. Infrared object detection network compression using Lp normalized weight[J]. Infrared and Laser Engineering, 2021, 50(8): 20200510 Copy Citation Text show less
    References

    [1] Lienhart R, Maydt J. An extended set of Haarlike features f rapid object detection[C]International Conference on Image Processing, 2002.

    [2] Dalal N, Triggs B. Histograms of iented gradients f human detection[C]IEEE Computer Society Conference on Computer Vision & Pattern Recognition, 2005.

    [3] D G Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 91-110(2004).

    [4] H Bay, A Ess, T Tuytelaars, et al. Speeded-up robust features. Computer Vision and Image Understanding, 110, 346-359(2008).

    [5] X Li, L Wang, E Sung. AdaBoost with SVM-based component classifiers. Engineering Applications of Artificial Intelligence, 21, 785-795(2008).

    [6] P F Felzenszwalb, D P Huttenlocher. Pictorial structures for object recognition. International Journal of Computer Vision, 61, 55-79(2005).

    [7] Felzenszwalb P F, Girshick R B, McAllester D. Cade object detection with defmable part models[C]2010 IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2010: 22412248.

    [8] Felzenszwalb P F, Girshick R B, Mcallester D A. Visual object detection with defmable part models[C]The TwentyThird IEEE Conference on Computer Vision Pattern Recognition, 2010.

    [9] Xiuling Zhang, Daibiao Hou, Chengcheng Zhang, et al. Design of MPCANet fire image recognition model for deep learning. Infrared and Laser Engineering, 47, 0203006(2018).

    [10] Junliang Gong, Xin He, Zhonghui Wei, et al. Infrared dim and small target detection method using scale-space theory. Infrared and Laser Engineering, 42, 2566-2573(2013).

    [11] S Ren, K He, R Girshick, et al. Faster R-CNN: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39, 1137-1149(2017).

    [12] Dai J, Li Y, He K, et al. RFCN: Object detection via regionbased fully convolutional wks[C]Proceedings of the 30th International Conference on Neural Infmation Processing Systems. 2016: 379387.

    [13] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, realtime object detection[C]Proceedings of the IEEE Conference on Computer Vision & Pattern Recognition, 2016: 779788.

    [14] Liu W, Anguelov D, Erhan D, et al. SSD: Single shot multibox detect[C]European Conference on Computer Vision, 2016: 2137.

    CLP Journals

    [1] Fan Gao, Xiaogang Yang, Ruitao Lu, Siyu Wang, Jiuan Gao, Hai Xia. Anchor-free lightweight infrared object detection method (Invited)[J]. Infrared and Laser Engineering, 2022, 51(4): 20220193

    Weipeng Li, Xiaogang Yang, Chuanxiang Li, Ruitao Lu, Xueli Xie, Chuan He. Infrared object detection network compression using Lp normalized weight[J]. Infrared and Laser Engineering, 2021, 50(8): 20200510
    Download Citation