Earf-YOLO: An Efficient Attention Receptive Field Model for Recognizing Symbols of Zhuang Minority Patterns

Earf-YOLO: An Efficient Attention Receptive Field Model for Recognizing Symbols of Zhuang Minority Patterns

As for recognizing Zhuang minority pattern symbols, current recognition models often cause high computational overhead and low accuracy since Zhuang minority pattern symbols have large feature vectors and some complex features. In this paper, we present the efficient attention receptive field you on...

Full description

Bibliographic Details
Main Authors: Cai, J. (Author), Chen, B. (Author), Deng, J. (Author), Feng, Y. (Author), Qin, Q. (Author), Shi, Z. (Author), Wang, J. (Author), Wang, Q. (Author), Wang, X. (Author), Yan, J. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Computational overheads
Control systems
Convolution
'current
Feature information
Features vector
Field model
Global-local
Local training
Pattern recognition
Receptive fields
Recognition models
Training strategy
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items