Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion
Natural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to capture the semantic features of scene text. Howeve...
Saved in:
| Main Authors: | LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2024-08-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2346 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network
by: LANG Binke, et al.
Published: (2023-05-01) -
Natural Scene Text Detection With Multiscale Feature Augmentation and Attention Mechanisms
by: Guogang Wang, et al.
Published: (2024-01-01) -
Dynamic Bidirectional Feature Enhancement Network for Thin Cloud Removal in Remote Sensing Images
by: Yu Wang, et al.
Published: (2025-01-01) -
Text Font Correction and Alignment Method for Scene Text Recognition
by: Liuxu Ding, et al.
Published: (2024-12-01) -
Phishing detection algorithm based on attention and feature fusion
by: ZHANG Sirui, et al.
Published: (2024-08-01)