DiT: Self-supervised Pre-training for Document Image Transformer-Reference-Cited by-同舟云学术

DiT: Self-supervised Pre-training for Document Image Transformer

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Li Junlong¹,Xu Yiheng²,Lv Tengchao²,Cui Lei²,Zhang Cha³,Wei Furu²

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Microsoft Research Asia, Beijing, China

3. Microsoft Azure AI, Redmond, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547911

Reference48 articles.

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3. Hangbo Bao Li Dong and Furu Wei. 2021. BEiT: BERT Pre-Training of Image Transformers. arXiv:2106.08254 [cs.CV] Hangbo Bao Li Dong and Furu Wei. 2021. BEiT: BERT Pre-Training of Image Transformers. arXiv:2106.08254 [cs.CV]

4. G. Bradski . 2000. The OpenCV Library. Dr. Dobb's Journal of Software Tools ( 2000 ). G. Bradski. 2000. The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000).

5. Zhaowei Cai and Nuno Vasconcelos . 2018 . Cascade R-CNN: Delving Into High Quality Object Detection. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018 , Salt Lake City, UT, USA, June 18--22 , 2018. IEEE Computer Society, 6154--6162. https://doi.org/10.1109/CVPR.2018.00644 Zhaowei Cai and Nuno Vasconcelos. 2018. Cascade R-CNN: Delving Into High Quality Object Detection. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18--22, 2018. IEEE Computer Society, 6154--6162. https://doi.org/10.1109/CVPR.2018.00644

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