Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-Guided Dynamic Token Merge for Document Understanding

Cite

Text

Zhai et al. "Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-Guided Dynamic Token Merge for Document Understanding." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/585

Markdown

[Zhai et al. "Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-Guided Dynamic Token Merge for Document Understanding." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/zhai2023ijcai-fast/) doi:10.24963/IJCAI.2023/585

BibTeX

@inproceedings{zhai2023ijcai-fast,
  title     = {{Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-Guided Dynamic Token Merge for Document Understanding}},
  author    = {Zhai, Mingliang and Li, Yulin and Qin, Xiameng and Yi, Chen and Xie, Qunyi and Zhang, Chengquan and Yao, Kun and Wu, Yuwei and Jia, Yunde},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {5269-5277},
  doi       = {10.24963/IJCAI.2023/585},
  url       = {https://mlanthology.org/ijcai/2023/zhai2023ijcai-fast/}
}