[HTML][HTML] Drone-DETR: Efficient small object detection for remote sensing image using enhanced RT-DETR model

Y Kong, X Shang, S Jia - Sensors, 2024 - mdpi.com
Performing low-latency, high-precision object detection on unmanned aerial vehicles
(UAVs) equipped with vision sensors holds significant importance. However, the current …

[HTML][HTML] Power transmission lines foreign object intrusion detection method for drone aerial images based on improved yolov8 network

H Sun, Q Shen, H Ke, Z Duan, X Tang - Drones, 2024 - mdpi.com
With the continuous growth of electricity demand, the safety and stability of transmission
lines have become increasingly important. To ensure the reliability of power supply, it is …

[HTML][HTML] Auxiliary Diagnosis of Dental Calculus Based on Deep Learning and Image Enhancement by Bitewing Radiographs

TJ Lin, YT Lin, YJ Lin, AY Tseng, CY Lin, LT Lo… - Bioengineering, 2024 - mdpi.com
In the field of dentistry, the presence of dental calculus is a commonly encountered issue. If
not addressed promptly, it has the potential to lead to gum inflammation and eventual tooth …

Asymmetric Aggregation Network for Accurate Ship Detection in Optical Imagery

Y Zhang, MJ Er - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Optical imagery ship detection has achieved significant developments recently. However,
accurate detection in complex scenes and for different-scale ships remains a vital challenge …

MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images

H Jiang, T Luo, H Peng, G Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
Rotated object detection in remote sensing images presents a highly challenging task due to
the extensive fields of view and complex backgrounds. While Convolutional Neural …

DMFF-YOLO: YOLOv8 Based on Dynamic Multiscale Feature Fusion for Object Detection on UAV Aerial Photography.

X Qiu, Y Chen, C Sun, J Li, M Niu - IEEE Access, 2024 - ieeexplore.ieee.org
With the rapid proliferation of drones across various domains, aerial target detection has
become increasingly crucial. However, the targets in aerial images present challenges such …

CM-YOLO: Context Modulated Representation Learning for Ship Detection

L Min, F Dou, Y Zhang, D Shao, L Li… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Ship detection is essential for both military and civilian applications. Existing ship detection
methods focus on prominent offshore ships, paying less attention to complex nearshore …

A small object detection model for improved YOLOv8 for UAV aerial photography scenarios

X Peng, L Zeng, W Zhu, Z Zeng - 2024 5th International …, 2024 - ieeexplore.ieee.org
In order to solve the problem of poor detection performance caused by a large number of
small targets, occlusion, and target blur in drone aerial image object detection, we optimized …

MFEFNet: A Multi-Scale Feature Information Extraction and Fusion Network for Multi-Scale Object Detection in UAV Aerial Images

L Zhou, S Zhao, Z Wan, Y Liu, Y Wang, X Zuo - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are now widely used in many fields. Due to the
randomness of UAV flight height and shooting angle, UAV images usually have the …

[HTML][HTML] A Comparative Study of Deep Learning Frameworks Applied to Coffee Plant Detection from Close-Range UAS-RGB Imagery in Costa Rica

S Arriola-Valverde, R Rimolo-Donadio… - Remote Sensing, 2024 - mdpi.com
Introducing artificial intelligence techniques in agriculture offers new opportunities for
improving crop management, such as in coffee plantations, which constitute a complex …