Unsupervised Domain Adaptation via Class Aggregation for Text Recognition-Reference-Cited by-同舟云学术

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Unsupervised Domain Adaptation via Class Aggregation for Text Recognition

Published:2023-10 Issue:10 Volume:33 Page:5617-5630
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Liu Xiao-Qian¹^ORCID,Ding Xue-Ying¹^ORCID,Luo Xin¹^ORCID,Xu Xin-Shun¹^ORCID

Affiliation:

1. School of Software, Shandong University, Jinan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Quan Cheng Laboratory, Jinan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10269772/10083152.pdf?arnumber=10083152

Reference55 articles.

1. Connectionist temporal classification

2. What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

3. Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition

4. An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

5. ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

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