EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

Hu Zhang, Keke Zu, Jian Lu 0002, Yuru Zou, Deyu Meng. EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network. In Lei Wang 0001, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa, editors, Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III. Volume 13843 of Lecture Notes in Computer Science, pages 541-557, Springer, 2022. [doi]

@inproceedings{ZhangZLZM22,
  title = {EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network},
  author = {Hu Zhang and Keke Zu and Jian Lu 0002 and Yuru Zou and Deyu Meng},
  year = {2022},
  doi = {10.1007/978-3-031-26313-2_33},
  url = {https://doi.org/10.1007/978-3-031-26313-2_33},
  researchr = {https://researchr.org/publication/ZhangZLZM22},
  cites = {0},
  citedby = {0},
  pages = {541-557},
  booktitle = {Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III},
  editor = {Lei Wang 0001 and Juergen Gall and Tat-Jun Chin and Imari Sato and Rama Chellappa},
  volume = {13843},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-26313-2},
}