• Electronics Optics & Control
  • Vol. 28, Issue 10, 36 (2021)
LI Xin1, WANG Shengquan1, and LI Ang1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2021.10.008 Cite this Article
    LI Xin, WANG Shengquan, LI Ang. A Military Target Recognition Algorithm Based on Unsupervised Network[J]. Electronics Optics & Control, 2021, 28(10): 36 Copy Citation Text show less
    References

    [1] GOODFELLOW I JPOUGET-ABADIE JMIRZA Met al.Generative adversarial networks[J].Advances in Neural Information Processing Systems20143:2672-2680.

    [2] ARJOVSKY MBOTTOU L.Towards principled methods for training generative adversarial networks[J/OL].Stat,2017[2020-08-09].https://www.arxiv-vanity.com/papers/1701.04862.

    [3] JIANG Q YLI W J.Deep cross-modal hashing[C]//IEEE Conference on Computer Vision & Pattern Recognition2017:3270-3278.

    [4] TONG W ALEI Z AZC Bet al.Unsupervised deep cross-modal hashing with virtual label regression[J].Neurocomputing2020386:84-96.

    [5] LAMB A MGOYAL A G A PZHANG Yet al.Professor forcing:a new algorithm for training recurrent networks[C]//Advances in Neural Information Processing Systems2016:4601-4609.

    [6] THEIS LOORD ABETHGE M.A note on the evaluation of generative models[J].Computer Science2016.arXiv:1511.018445.

    [7] GERSHMAN S JHOFFMAN M DBLEI D M.Nonparametric variational inference[C]//Proceedings of the 29th International Coference on Machine Learning2012:235-242.

    [8] HAN TLU YZHU S Cet al.Alternating back-propagation for generator network[C]//Proceedings of the AAAI Conference on Artificial Intelligence2017.arXiv:1606.08571.

    [9] BENGIO YLAUFER EALAIN Get al.Deep generative stochastic networks trainable by backprop[C]//Proceedings of the 31st International Conference on Machine Learning2014:226-234.

    [10] GOODFELLOW I JWARDE-FARLEY DMIRZA Met al.Maxout networks[C]//Proceedings of the 30th International Conference on Machine Learning2013:1319-1327.

    [11] TIANCHI JQIANG L IMAOSONG Let al.Target detection method combining inverted residual block and YOLOv3[J].Transducer and Microsystem Technologies201938(9):144-146156.

    [13] DHANARAJ MSHARMA MSARKAR Tet al.Vehicle detection from multi-modal aerial imagery using YOLOv3 with mid-level fusion[C]//Big Data II:Learning,Analy-ticsand Applications2020.doi: 10.1117/12.2558115.

    LI Xin, WANG Shengquan, LI Ang. A Military Target Recognition Algorithm Based on Unsupervised Network[J]. Electronics Optics & Control, 2021, 28(10): 36
    Download Citation