An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition
With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. H...
Saved in:
Main Authors: | Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6617799 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multitask Learning with Local Attention for Tibetan Speech Recognition
by: Hui Wang, et al.
Published: (2020-01-01) -
Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition
by: Anubha Sehgal, et al.
Published: (2024-01-01) -
Towards understanding the character of quality sampling in deep learning face recognition
by: Iurii Medvedev, et al.
Published: (2022-09-01) -
Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches
by: Yang Ximin
Published: (2025-01-01) -
Design of Intelligent Recognition English Translation Model Based on Deep Learning
by: Yuexiang Ruan
Published: (2022-01-01)