Results 41 to 50 of about 8,202,971 (220)
Text recognition of power equipment nameplates based on deep learning
There is abundant information in power equipment nameplates. Extracting information from nameplates through image and text recognition technology enables the high effective and quick works on statics and account check of power equipment,which is also ...
WANG Yifan +3 more
doaj +1 more source
Text-Attentional Convolutional Neural Network for Scene Text Detection [PDF]
To appear in IEEE Trans.
He, Tong +3 more
openaire +3 more sources
An Empirical Study of AI Generated Text Detection Tools [PDF]
Since ChatGPT has emerged as a major AIGC model, providing high-quality responses across a wide range of applications (including software development and maintenance), it has attracted much interest from many individuals.
Arslan Akram
semanticscholar +1 more source
Text detection in natural scenes: a literature review
Text detection is widely applied in the automatic driving and cross-modal image retrieval fields. This technique is also an important pre-procedure in optical character-based text recognition tasks.
Zhi-cheng BAI +3 more
doaj +1 more source
Shape Robust Text Detection With Progressive Scale Expansion Network [PDF]
Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent the algorithm into industry applications.
Xiang Li +5 more
semanticscholar +1 more source
Deepfake Text Detection: Limitations and Opportunities [PDF]
Recent advances in generative models for language have enabled the creation of convincing synthetic text or deepfake text. Prior work has demonstrated the potential for misuse of deepfake text to mislead content consumers.
Jiameng Pu +7 more
semanticscholar +1 more source
Arbitrary Shape Text Detection via Boundary Transformer [PDF]
In arbitrary shape text detection, locating accurate text boundaries is challenging and non-trivial. Existing methods often suffer from indirect text boundary modeling or complex post-processing.
Shi-Xue Zhang +3 more
semanticscholar +1 more source
Industrial nameplates serve as a means of conveying critical information and parameters. In this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a Probabilistic Hough Transform. Our method effectively corrects for
Han Li, Yan Ma, Hong Bao, Yuhao Zhang
doaj +1 more source
Development and Validation of a Tool to Detect and Repair Text Inconsistencies [PDF]
Introduction: Reading comprehension is an important skill in a fast pace global society in which we now live. However, reading comprehension is a rather complex process that involves the dynamic interaction of cognitive and metacognitive skills.Method ...
Carrasco Bernal, Macarena +3 more
core +1 more source
CSFF-Net: Scene Text Detection Based on Cross-Scale Feature Fusion
In the last years, methods for detecting text in real scenes have made significant progress with an increase in neural networks. However, due to the limitation of the receptive field of the central nervous system and the simple representation of text by ...
Yuan Li, Mayire Ibrayim, Askar Hamdulla
doaj +1 more source

