Results 1 to 10 of about 1,376 (159)
Ship Detection Based on YOLOv2 for SAR Imagery [PDF]
Remote Sensing, 2019 Synthetic aperture radar (SAR) imagery has been used as a promising data source for monitoring maritime activities, and its application for oil and ship detection has been the focus of many previous research studies. Many object detection methods ranging
Yang-Lang Chang +2 more
exaly +4 more sources
An Improved YOLOv2 for Vehicle Detection [PDF]
Sensors, 2018 Vehicle detection is one of the important applications of object detection in intelligent transportation systems. It aims to extract specific vehicle-type information from pictures or videos containing vehicles.
Hong Xiang, Wu Zhongyuan, Haibo Hu
exaly +5 more sources
Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features [PDF]
IEEE Access, 2020 White blood cells (WBCs) protect human body against different types of infections including fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult task.
Muhammad Sharif +2 more
exaly +6 more sources
Design and Implementation of a YOLOv2 Accelerator on a Zynq-7000 FPGA [PDF]
SensorsYou Only Look Once (YOLO) is a convolutional neural network-based object detection algorithm widely used in real-time vision applications. However, its high computational demand leads to significant power consumption and cost when deployed in graphics ...
Huimin Kim, Tae-Kyoung Kim
doaj +4 more sources
Zebrafish tracking using YOLOv2 and Kalman filter [PDF]
Scientific Reports, 2021 Fish show rapid movements in various behavioral activities or associated with the presence of food. However, in periods of rapid movement, the rate at which occlusion occurs among the fish is quite high, causing inconsistency in the detection and ...
Marta de Oliveira Barreiros +4 more
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Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods [PDF]
Frontiers in Public Health, 2023 IntroductionIn light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differences and fatigue, this paper investigates the use of artificial intelligence technology for auxiliary ...
Junbo Xuan +5 more
doaj +2 more sources
Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment [PDF]
Foods, 2022 Traditional manual garlic root cutting is inefficient and can cause food safety problems. To develop food processing equipment, a novel and accurate object detection method for garlic using deep learning—a convolutional neural network—is proposed in this
Ke Yang +6 more
doaj +2 more sources
A Scalable OpenCL-Based FPGA Accelerator for YOLOv2 [PDF]
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019 This paper implements an OpenCL-based FPGA accelerator for YOLOv2 on Arria-10 GX1150 FPGA board. The hardware architecture adopts a scalable pipeline design to support multi-resolution input image, and improves resource utilization by full 8-bit fixed-point computation and CONV+BN+Leaky-ReLU layer fusion technology.
Ke Xu
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Resource-constrained FPGA implementation of YOLOv2
Neural Computing and Applications, 2022 AbstractProgress is being made to deploy convolutional neural networks (CNNs) into the Internet of Things (IoT) edge devices for handling image analysis tasks locally. These tasks require low-latency and low-power computation on low-resource IoT edge devices. However, CNN-based algorithms, e.g. YOLOv2, typically contain millions of parameters. With the
M A Parvez Mahmud +2 more
exaly +2 more sources
EcoDetect-YOLOv2: A High-Performance Model for Multi-Scale Waste Detection in Complex Surveillance Environments [PDF]
SensorsConventional waste monitoring relies heavily on manual inspection, while most detection models are trained on close-range, simplified datasets, limiting their applicability for real-world surveillance.
Jing Su +5 more
doaj +2 more sources