IEEE

SAFF-DETR: An End-to-End Object Detection Network for Remote Sensing Images With Targets of Varying Sizes Based on Scale Adaptation and Frequency Fusion

Abstract: Deep learning-based object detection algorithms have achieved significant success in the field of computer vision. However, the wide range of target sizes in remote sensing images poses a ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Frontiers

Cumulative confidence-driven task offloading for object detection in maritime Internet of Things

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...
Frontiers

DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism

1 School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang, China 2 South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, ...
IEEE

Hybrid Deep Learning Object Detection Algorithm for Autonomous Vehicles with Hybrid Optimization Technique

Abstract: In order to improve accuracy and efficiency in object detection tasks, this research study introduces a novel hybrid object detection deep learning technique that combines Convolutional ...