RFAG-YOLO: A Receptive Field Attention-Guided YOLO Network for Small-Object Detection in UAV Images
The YOLO series of object detection methods have achieved significant success in a wide range of computer vision tasks due to their efficiency and accuracy. However, detecting small objects in UAV images remains a formidable challenge due to factors such as a low resolution, complex background inter...
Saved in:
| Main Authors: | Chengmeng Wei, Wenhong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/7/2193 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SMA-YOLO: An Improved YOLOv8 Algorithm Based on Parameter-Free Attention Mechanism and Multi-Scale Feature Fusion for Small Object Detection in UAV Images
by: Shenming Qu, et al.
Published: (2025-07-01) -
UAVAI-YOLO: dense small target detection algorithm based on UAV aerial images
by: HE Zhiqian, et al.
Published: (2024-06-01) -
LI-YOLO: An Object Detection Algorithm for UAV Aerial Images in Low-Illumination Scenes
by: Songwen Liu, et al.
Published: (2024-11-01) -
SRM-YOLO for Small Object Detection in Remote Sensing Images
by: Bin Yao, et al.
Published: (2025-06-01) -
PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection
by: Weijia Chen, et al.
Published: (2025-08-01)