IEEE

EFAF-YOLO: A Novel Enhanced Framework for Small-Object Detection

Abstract: Remote sensing platforms provide crucial data for applications such as urban planning and traffic monitoring. However, detecting small objects remains challenging due to low resolution, ...
IEEE

Mamba*YOLO: Lightweight and Accurate Object Detection via Regional Attention With Gated Enhancement

Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Scientific Research Publishing

A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of Mosquito-Borne Diseases ()

Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
IEEE

SGA-YOLO: A Lightweight Real-Time Object Detection Network for UAV Infrared Images

Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
IEEE

YOLOv8-SCS: Improved Object Detection for Autonomous Driving Under Adverse Weather Conditions

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
IEEE

Multi-Scale Oriented Object Detection With Focus Error Ellipse Loss

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
IEEE

A Cross-Modality Feature Adaptive Interaction Approach for RGB-Infrared Object Detection in Aerial Imagery

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
IEEE

A Two-Stage Spatiotemporal CNN-YOLOv9 Framework for High-Precision Real-Time Abandoned Object Detection in Public Surveillance Videos

Abstract: Maintaining security is of prime importance in public spaces such as markets, train stations, and airports. Such situations demand reliable and advanced automated surveillance systems. This ...
IEEE

RaCFusion: Improving Camera-Based 3D Object Detection via Radar-Assisted Hierarchical Refinement

Abstract: Cameras and radar sensors are complementary in 3D object detection in that cameras specialize in capturing an object's visual information while radar provides spatial information and ...