Multi-domain Document Layout Understanding Using Few-Shot Object Detection

Author:

Singh Pranaydeep,Varadarajan Srikrishna,Singh Ankit Narayan,Srivastava Muktabh Mayank

Publisher

Springer International Publishing

Reference12 articles.

1. Agrawal, M., Doermann, D.S.: Voronoi++: a dynamic page segmentation approach based on voronoi and docstrum features. In: 10th International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelona, Spain, 26–29 July 2009, pp. 1011–1015 (2009). https://doi.org/10.1109/ICDAR.2009.270

2. Chen, H., Wang, Y., Wang, G., Qiao, Y.: LSTD: a low-shot transfer detector for object detection. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, 2–7 February 2018 (2018). https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16778

3. Harley, A.W., Ufkes, A., Derpanis, K.G.: Evaluation of deep convolutional nets for document image classification and retrieval, vol. abs/1502.07058 (2015). http://arxiv.org/abs/1502.07058

4. Lin, T., Dollár, P., Girshick, R.B., He, K., Hariharan, B., Belongie, S.J.: Feature pyramid networks for object detection, vol. abs/1612.03144 (2016). http://arxiv.org/abs/1612.03144

5. Lecture Notes in Computer Science;W Liu,2016

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