LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
Advances in Unmanned Aerial Vehicles (UAVs) and deep learning have spotlighted the challenges of detecting small objects in UAV imagery, where limited computational resources complicate deployment on edge devices. While many high-accuracy deep learning solutions have been developed, their large para...
Saved in:
Main Authors: | Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Intelligent Systems with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305325000109 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Edge computing for detection of ship and ship port from remote sensing images using YOLO
by: Vasavi Sanikommu, et al.
Published: (2025-02-01) -
Lightweight object detection model for food freezer warehouses
by: Jiayu Yang, et al.
Published: (2025-01-01) -
Implementasi You Look Only Once (Yolo) Untuk Manajemen Parkir Di PT. Royal Dparagon Land
by: paulus harsadi, et al.
Published: (2024-12-01) -
Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models
by: Dayeon Yang, et al.
Published: (2024-12-01) -
Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection
by: Yosra Hajjaji, et al.
Published: (2025-03-01)