Xiangquan Gui, Yuxin Zhang, and Li Li


  1. [1] Y.C. Sun, K.J. Yan, and W.Z. Li, CycleGAN-based SAR-optical image fusion for target recognition, Remote Sensing,15(23), 2023, 5569.
  2. [2] X. Wu, M.Y. Cui, M.Y. Liu, P.L. Wang, and B.H. Qiang,Deep hashing multi-label image retrieval with attentionmechanism, Mechatronic Systems and Control, 05(89), 2022,72–381.
  3. [3] T.D. Dung and G. Capi, Application of neural networks forrobot 3D mapping and annotation using depth image camera,Mechatronic Systems and Control, 05(82), 2022, 529–536.
  4. [4] X. Wang, X. Li, Z. Zheng, and Y. Li, A research of tree imageMarkov random field segmentation method based on geneticalgorithm, Mechatronic Systems and Control, 03(83), 2023,166–171.
  5. [5] Z. Liu, W. Zhu, and Z. Yuan, Combining full convolutionalnetworks with CycleGAN for image instance style migration,Chinese Journal of Graphics, 24(08), 2019, 1283–1291.
  6. [6] Z.L. Du, O.Y. Shen, G.M. Song, and X.L. Li, Image stylemigration based on improved CycleGAN, Optical PrecisionEngineering, 27(08), 2019, 1836–1844.
  7. [7] T.D. Dung and G. Capi, Application of neural networks forrobot 3d mapping and annotation using depth image camera,International Journal of Robotics and Automation, 37(6), 2022,529–536.
  8. [8] L. Jian and X. Gao, Unsupervised learning based imagestyle migration method, Information and Computer (TheoryEdition), 31(17), 2019, 29–35.
  9. [9] T. Wang and W. Shi, Mouthpiece image style migrationbased on M-CycleGAN, Computer Programming Skills andMaintenance, (03), 2020, 131–134.
  10. [10] J. Zhang and Y. Hou, Image style migration based on improvedrecurrent generative adversarial network, Journal of Electronicsand Information, 42(05), 2020, 1216–1222.
  11. [11] L. Kong and S. Teng, Unsupervised image style migration basedon image masking, Computer Application Research, 37(08),2020, 2552–2555.
  12. [12] T. Wang, K. Fu, and P. Cheng, A domain adaptation methodfor face recognition based on image style migration, ComputerApplication Research, 37(11), 2020, 3496–3499.
  13. [13] H. Ma, T. Zhang, and H. Lu, Image style migration basedon CycleGAN, Computer Knowledge and Technology, 16(27),2020, 18–20.
  14. [14] Y.C. Shi and L.J. Zhu, Research on image style migration basedon GAN, Electronic Technology and Software Engineering,(16), 2020, 140–143.
  15. [15] P. Xu, T. Zhou, Z. Wu, J Shen, and X. Wang, Research on imagecartoon stylization under low arithmetic deep learning, Journalof Beijing Normal University (Natural Science Edition),57(06), 2021, 888–895.9

Important Links:

Go Back