DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images
Drone object detection serves as a fundamental task for more advanced applications. However, drone images typically exhibit challenges such as small object sizes, dense distributions, and high levels of overlap. Traditional object detection networks struggle to achieve the required accuracy and effi...
Saved in:
| Main Authors: | Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/10/1768 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm
by: Shengfu Luo, et al.
Published: (2025-05-01) -
Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11
by: Tianhang Weng, et al.
Published: (2025-07-01) -
SFANet: A Ground Object Spectral Feature Awareness Network for Multimodal Remote Sensing Image Semantic Segmentation
by: Yizhou Lan, et al.
Published: (2025-05-01) -
SSD-YOLO: a lightweight network for rice leaf disease detection
by: Canlin Pan, et al.
Published: (2025-08-01) -
MFFCI–YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information
by: Sheng Xu, et al.
Published: (2024-01-01)