An Efficient Lane Detection Network with Channel-Enhanced Coordinate Attention
Lane detection based on semantic segmentation can achieve high accuracy, but, in recent years, it does not have a mobile-friendly cost, which is caused by the complex iteration and costly convolutions in convolutional neural networks (CNNs) and state-of-the-art (SOTA) models based on CNNs, such as s...
Saved in:
| Main Authors: | Ke Xu, Zhicheng Hao, Ming Zhu, Jiarong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/12/870 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model
by: Asaad Ahmed, et al.
Published: (2025-02-01) -
Lane Detection Based on ECBAM_ASPP Model
by: Xiang Gu, et al.
Published: (2024-12-01) -
Rearview Camera-Based Blind-Spot Detection and Lane Change Assistance System for Autonomous Vehicles
by: Yunhee Lee, et al.
Published: (2025-01-01) -
Enhancing Road Scene Segmentation With an Optimized DeepLabV3+
by: Zhe Ren, et al.
Published: (2024-01-01) -
Tumor ViT-GRU-XAI: Advanced Brain Tumor Diagnosis Framework: Vision Transformer and GRU Integration for Improved MRI Analysis: A Case Study of Egypt
by: Mohammed Aly, et al.
Published: (2024-01-01)