Our TA-GRU empowered YOLOv7 to not only boost the detection accuracy by 5.86% in the mean average precision (mAP) on the challenging VisDrone dataset, but also to reach a running speed of 24 frames per second (fps).doi:10.3390/drones7070466Zihao Zhou...
The results demonstrate that there still remains a large room for improvement for object detection algorithms on drones. 1. Introduction Object detection is a basis of a wide range of many high- level computer vision applications, such as autonomous ...
To narrow the gap between current object detection performance and the real-world requirements, we organized the “Vision Meets Drone - Object Detection in Images (VisDrone-DET2018) challenge, which is one track of the “Vision Meets Drone: A Challenge” (or VisDrone2018, for short) on Septemb...
An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion Article Open access 09 May 2025 Introduction Due to the gradual reduction of the cost of manufacturing drones, coupled with their easy operation and small size, their us...
Object detection algorithms implemented in deep learning framework have rapidly became a method for processing of moving images captured from drones. The primary objective of the paper is to provide a comprehensive review of the state of the art deep learning based object detection algorithms and ...
Unique visual features and spatial relationships of boats, personnel, and various lifesaving items, along with changes in weather, time, and UAV shooting angles, pose new challenges for image object detection in this specific task. The SeaDronesSee dataset1 is specifically constructed for this ...
The importance of object detection within computer vision, especially in the context of detecting small objects, has notably increased. This thorough survey extensively examines small object detection across various applications, consolidating and outlining the available methodologies. Traditional papers on sma...
In this article we will discuss about YOLOv11, a highly efficient object detection model that offers faster speeds, improved accuracy, and seamless integrati…
20 November 2023 / Accepted: 13 August 2024 © The Author(s) 2024 Abstract With the rapid development of unmanned aerial vehicle (UAV) technology, there is an urgent need for high-performance aerial object detection algorithms that are tailored for deployment on drones with limited computing cap...
While most multi-object tracking methods based on tracking-by-detection use either spatial or appearance cues for associating detections or apply one cue after another, our proposed PAS tracker employs a novel similarity measure that combines position, a