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A full featured configurable accelerator for object detection with YOLO
D Pestana, PR Miranda, JD Lopes, RP Duarte… - IEEE …, 2021 - ieeexplore.ieee.org
Object detection and classification is an essential task of computer vision. A very efficient
algorithm for detection and classification is YOLO (You Look Only Once). We consider …
algorithm for detection and classification is YOLO (You Look Only Once). We consider …
[HTML][HTML] Review of energy-efficient embedded system acceleration of convolution neural networks for organic weeding robots
V Czymmek, C Köhn, LO Harders, S Hussmann - Agriculture, 2023 - mdpi.com
The sustainable cultivation of organic vegetables and the associated problem of weed
control has been a current research topic for some time. Despite this, the use of chemical …
control has been a current research topic for some time. Despite this, the use of chemical …
A parameterisable FPGA-tailored architecture for YOLOv3-tiny
Object detection is the task of detecting the position of objects in an image or video as well
as their corresponding class. The current state of the art approach that achieves the highest …
as their corresponding class. The current state of the art approach that achieves the highest …
[HTML][HTML] YOLOv4-tiny-based coal gangue image recognition and FPGA implementation
S Xu, Y Zhou, Y Huang, T Han - Micromachines, 2022 - mdpi.com
Nowadays, most of the deep learning coal gangue identification methods need to be
performed on high-performance CPU or GPU hardware devices, which are inconvenient to …
performed on high-performance CPU or GPU hardware devices, which are inconvenient to …
FPGA-SoC implementation of YOLOv4 for flying-object detection
Flying-object detection has become an increasingly attractive avenue for research,
particularly with the rising prevalence of unmanned aerial vehicle (UAV). Utilizing deep …
particularly with the rising prevalence of unmanned aerial vehicle (UAV). Utilizing deep …
Hardware acceleration for object detection using YOLOv4 algorithm on **linx Zynq platform
With the technological improvement in artificial intelligence, particularly deep learning is
providing effective outcomes along with hardware platforms such as field-programmable …
providing effective outcomes along with hardware platforms such as field-programmable …
An improved algorithm for deep learning YOLO network based on **linx ZYNQ FPGA
Z Li, J Wang - … Conference on Culture-oriented Science & …, 2020 - ieeexplore.ieee.org
With the development of artificial intelligence, convolutional neural networks (CNN) have
been widely used in image processing and other aspects due to their excellent performance …
been widely used in image processing and other aspects due to their excellent performance …
[HTML][HTML] Configurable hardware core for IoT object detection
PR Miranda, D Pestana, JD Lopes, RP Duarte… - Future Internet, 2021 - mdpi.com
Object detection is an important task for many applications, like transportation, security, and
medical applications. Many of these applications are needed on edge devices to make local …
medical applications. Many of these applications are needed on edge devices to make local …
Design and Implementation of Face Detection Architecture for Heterogeneous System-on-Chip
The seminal work of Viola and Jones for automatic face detection is widely used in many
human–computer interaction and computer vision applications. On analyzing the existing …
human–computer interaction and computer vision applications. On analyzing the existing …
Integrating Gstreamer with **linx's ZCU 104 Edge Platform for Real-Time Intelligent Image Enhancement
Edge computing is becoming very popular. Many researchers are using edge devices for
computing artificial intelligence, especially in real-time applications of computer vision by the …
computing artificial intelligence, especially in real-time applications of computer vision by the …