A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism
With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. UAVs equipped with object detection systems are increasingly used in fields like smart transportation, disaster warning,...
Saved in:
Main Authors: | Zhe Quan, Jun Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/589 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications
by: Gege Ding, et al.
Published: (2025-01-01) -
Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module
by: Chenrui Kang, et al.
Published: (2025-01-01) -
ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection
by: Dandan Liao, et al.
Published: (2024-11-01) -
YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations
by: Dong Ding, et al.
Published: (2025-01-01) -
SED-YOLO based multi-scale attention for small object detection in remote sensing
by: Xiaotan Wei, et al.
Published: (2025-01-01)