Loss Function for Training Models of Segmentation of Document Images
-
Published:2023-12
Issue:7
Volume:49
Page:574-589
-
ISSN:0361-7688
-
Container-title:Programming and Computer Software
-
language:en
-
Short-container-title:Program Comput Soft
Author:
Perminov A. I.ORCID, Turdakov D. Yu.ORCID, Belyaeva O. V.ORCID
Publisher
Pleiades Publishing Ltd
Reference9 articles.
1. Zheng, Z., Wang, P., et al.. Distance-IoU loss: Faster and better learning for bounding box regression, Proc. of the AAAI Conference on Artificial Intelligence, 2020, vol. 34, no. 07, pp. 12993–13000. 2. Rezatofighi, H., Tsoi, N., et al.. Generalized intersection over union: A metric and a loss for bounding box regression, Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 658–666. 3. Zheng, T., Zhao, S., et al.. SCALoss: Side and corner aligned loss for bounding box regression. arXiv preprint arXiv:2104.00462, 2021. 4. He, J., Erfani, S., et al.. α-IoU: A family of power intersection over union losses for bounding box regression, Adv. Neural Inf. Process. Syst., 2021, vol. 34. 5. Wu, S., Yang, J., et al., IoU-balanced loss functions for single-stage object detection, Pattern Recognit. Lett., 2022, vol. 156, pp. 96–103.
|
|