Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels

Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, Hongsheng Li. Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023. pages 23003-23012, IEEE, 2023. [doi]

@inproceedings{ZhouHWLL23,
  title = {Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels},
  author = {Jingqiu Zhou and Linjiang Huang and Liang Wang and Si Liu and Hongsheng Li},
  year = {2023},
  doi = {10.1109/CVPR52729.2023.02203},
  url = {https://doi.org/10.1109/CVPR52729.2023.02203},
  researchr = {https://researchr.org/publication/ZhouHWLL23},
  cites = {0},
  citedby = {0},
  pages = {23003-23012},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0129-8},
}