MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer

Xin Liu, Jing Li 0077, Yuanning Cui, Wei Zhu, Luhong Qian. MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer. In Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa, editors, Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II. Volume 13422 of Lecture Notes in Computer Science, pages 511-519, Springer, 2022. [doi]

@inproceedings{LiuLCZQ22,
  title = {MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer},
  author = {Xin Liu and Jing Li 0077 and Yuanning Cui and Wei Zhu and Luhong Qian},
  year = {2022},
  doi = {10.1007/978-3-031-25198-6_39},
  url = {https://doi.org/10.1007/978-3-031-25198-6_39},
  researchr = {https://researchr.org/publication/LiuLCZQ22},
  cites = {0},
  citedby = {0},
  pages = {511-519},
  booktitle = {Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II},
  editor = {Bohan Li and Lin Yue and Chuanqi Tao and Xuming Han and Diego Calvanese and Toshiyuki Amagasa},
  volume = {13422},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25198-6},
}