From Synthetic To Real: Enhancing Deep Learning Models With Generative Adversarial Networks For Efficient Data Utilization In Automatic Retail Stores

Cong-Ty Dang, Vu-Hoang Tran, Ngoc-Hoang-Lam Le, Ching-Chun Huang. From Synthetic To Real: Enhancing Deep Learning Models With Generative Adversarial Networks For Efficient Data Utilization In Automatic Retail Stores. In Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023. pages 1726-1731, IEEE, 2023. [doi]

@inproceedings{DangTLH23,
  title = {From Synthetic To Real: Enhancing Deep Learning Models With Generative Adversarial Networks For Efficient Data Utilization In Automatic Retail Stores},
  author = {Cong-Ty Dang and Vu-Hoang Tran and Ngoc-Hoang-Lam Le and Ching-Chun Huang},
  year = {2023},
  doi = {10.1109/APSIPAASC58517.2023.10317140},
  url = {https://doi.org/10.1109/APSIPAASC58517.2023.10317140},
  researchr = {https://researchr.org/publication/DangTLH23},
  cites = {0},
  citedby = {0},
  pages = {1726-1731},
  booktitle = {Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0067-3},
}