TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
Scene text recognition (STR) is an important bridge between images and text, attracting abundant research attention. While convolutional neural networks (CNNS) have achieved remarkable progress in this task, most of the existing works need an extra module (context modeling module) to help CNN to cap...
Guardado en:
Autores principales: | Yue Tao, Zhiwei Jia, Runze Ma, Shugong Xu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5d61a56968d34aa99a6d35d3cd35b304 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Development of Vertical Text Interpreter for Natural Scene Images
por: Ong Yi Ling, et al.
Publicado: (2021) -
Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs
por: Jurgen Vandendriessche, et al.
Publicado: (2021) -
The presence of occupational structure in online texts based on word embedding NLP models
por: Zoltán Kmetty, et al.
Publicado: (2021) -
Performance Evaluation of Offline Speech Recognition on Edge Devices
por: Santosh Gondi, et al.
Publicado: (2021) -
K-Nearest Neighbor for Recognize Handwritten Arabic Character
por: Muhammad Athoillah
Publicado: (2019)