TL;DR
TLD-YOLO is proposed, an enhanced object detection framework built upon the YOLOv5 baseline for fast and accurate transmission line defect inspection, which incorporates four key architectural improvements that demonstrate a favorable trade-off between accuracy and efficiency for UAV-based TLD inspection in complex environments.
An improved small UAV detection algorithm based on YOLOv11n, namely A DenseBlock-Enhanced YOLOv11 (YOLOv11-Dense), which strengthens the fusion of deep semantic features and shallow spatial features, mitigates the problem of small target feature loss in deep networks, and further improves the detection accuracy of smal...
SSM-YOLO11s is proposed, a lightweight model optimized for small object detection in aerial imagery that achieves a superior balance between precision and efficiency compared to state-of-the-art models.
Drones serve as critical tools for urban security surveillance and emergency response. However, aerial object detection faces inherent challenges, as key targets such as pedestrians and vehicles often appear tiny, densely distributed, and heavily occluded. These issues reduce detection accuracy and hinder real-world se...
Ship detection is a critical technology for maritime safety supervision, collision avoidance, and intelligent navigation. However, existing methods face significant challenges, including large scale variations of ship targets, severe background interference under complex weather conditions (e.g., fog, low light), and t...
This work proposes LSO-YOLO, a novel real-time detector optimized for UAV-based small-object detection that significantly reduces parameter count and computational cost by approximately 67% and 18.18%, respectively, while maintaining a high inference speed of 126 FPS on an NVIDIA RTX 3060 GPU, meeting the requirements...
Unmanned aerial vehicle (UAV) remote sensing object detection remains challenging because aerial targets are often small, densely distributed, and embedded in complex background clutter, whereas onboard deployment requires compact computation and real-time inference. Existing real-time detectors commonly retain a conve...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
