Efficient detection of highway pavement cracks using computer vision-based MSFNet model
Most highway pavement cracks are long and thin with rich edge details. To balance the needs of pavement crack detection accuracy and real-time performance, while also accounting for local and global feature recognition, a self-focus lightweight crack segmentation method MSFNet based on multilevel co...
Saved in:
| Main Authors: | Zhengfa Jiang, Danlan Li, Ting Zhao, Mingxing Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525008472 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
E-MobileViT: a lightweight model for traffic sign recognition
by: Shiqi Song, et al.
Published: (2025-03-01) -
Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification
by: Zhengle Wang, et al.
Published: (2025-07-01) -
FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms
by: Qinyang Liu, et al.
Published: (2025-01-01) -
Lubricating Grease Thickness Classification of Steel Wire Rope Surface Based on GEMR-MobileViT
by: Ruqing Gong, et al.
Published: (2025-04-01) -
AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening
by: C. Kishor Kumar Reddy, et al.
Published: (2025-06-01)