A benchmark for evaluating Deep Learning based Image Analytics
CR Ikram - 2019 - duo.uio.no
Deep learning based systems are on the rise as they have shown tremendous potential to
extract concealed patterns through the data. Today Deep learning systems are surpassing …
extract concealed patterns through the data. Today Deep learning systems are surpassing …
RETRACTED: Road Object Detection: A Comparative Study of Deep Learning-Based Algorithms
M Haris, A Glowacz - Electronics, 2021 - mdpi.com
Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …
object detection be accurate overall and robust to weather and environmental conditions …
Object detection from images using convolutional neural networks
O Stenroos - 2017 - aaltodoc.aalto.fi
Object detection is a subfield of computer vision that is currently heavily based on machine
learning. For the past decade, the field of machine learning has been dominated by so …
learning. For the past decade, the field of machine learning has been dominated by so …
[PDF][PDF] Road Object Detection: A Comparative Study of Deep Learning-Based Algorithms. Electronics 2021, 10, 1932
Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …
object detection be accurate overall and robust to weather and environmental conditions …
Accurate object classification and detection by faster-RCNN
M Lokanath, KS Kumar, ES Keerthi - IOP conference series …, 2017 - iopscience.iop.org
Recent advances in object detection algorithms include fast and faster RCNN which made
the detection times comparatively low with high accuracy. In this work we verify the integrity …
the detection times comparatively low with high accuracy. In this work we verify the integrity …
Deep learning architectures for object detection and classification
B Vaidya, C Paunwala - Smart Techniques for a Smarter Planet: Towards …, 2019 - Springer
Object detection and classification have observed large amount of transformation and
research after the advances in machine learning algorithms. The advancement in the …
research after the advances in machine learning algorithms. The advancement in the …
Deep learning approaches for detecting objects from images: a review
Detecting objects from images is a challenging problem in the domain of computer vision
and plays a very crucial role for wide range of real-time applications. The ever-increasing …
and plays a very crucial role for wide range of real-time applications. The ever-increasing …
Deep neural networks for object detection
J You - Highlights in Science, Engineering and Technology, 2022 - drpress.org
Object detection is one of the most basic and challenging tasks in image and video domains.
The research on computer vision tasks is getting more and more attention, such as some …
The research on computer vision tasks is getting more and more attention, such as some …
Object detection with convolutional neural networks
This chapter presents a brief overview of the recent developments in object detection using
convolutional neural networks (CNNs) and describes several classical CNN-based …
convolutional neural networks (CNNs) and describes several classical CNN-based …
A survey of modern deep learning based object detection models
Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …
It has gained prominence in recent years due to its widespread applications. This article …