E-MobileViT: a lightweight model for traffic sign recognition
Abstract Traffic sign recognition is crucial for intelligent transportation and autonomous driving, ensuring road safety and efficient traffic management. This paper proposes a lightweight enhanced MobileViT model (E-MobileViT). It is based on the MobileViT model, combining the advantages of CNN and...
Saved in:
| Main Authors: | Shiqi Song, Xinfeng Ye, Sathiamoorthy Manoharan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
|
| Series: | Industrial Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44244-025-00024-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt
by: Shikun Liu, et al.
Published: (2025-05-01) -
Real time weed identification with enhanced mobilevit model for mobile devices
by: Xiaoyan Liu, et al.
Published: (2025-07-01) -
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning
by: Yusuf Alaca
Published: (2025-02-01) -
Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset
by: Md Firoz Kabir, et al.
Published: (2025-07-01) -
Lubricating Grease Thickness Classification of Steel Wire Rope Surface Based on GEMR-MobileViT
by: Ruqing Gong, et al.
Published: (2025-04-01)