Convolutional neural networks backbones for object detection
A Benali Amjoud, M Amrouch - … , ICISP 2020, Marrakesh, Morocco, June 4 …, 2020 - Springer
Detecting objects in images is an extremely important step in many image and video
analysis applications. Object detection is considered as one of the main challenges in the …
analysis applications. Object detection is considered as one of the main challenges in the …
Survey: Convolution neural networks in object detection
In latest years, deep neural networks were observed to be the most influential among all
innovations in the computer vision field, generating remarkable performance on image …
innovations in the computer vision field, generating remarkable performance on image …
A comprehensive review of object detection with deep learning
R Kaur, S Singh - Digital Signal Processing, 2023 - Elsevier
In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …
demonstrated excellent performance. Video Processing, Object Detection, Image …
A review of object detection based on deep learning
With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …
networks (DCNNs) have become more important for object detection. Compared with …
Application of deep learning for object detection
The ubiquitous and wide applications like scene understanding, video surveillance, robotics,
and self-driving systems triggered vast research in the domain of computer vision in the most …
and self-driving systems triggered vast research in the domain of computer vision in the most …
Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …
A comprehensive and systematic look up into deep learning based object detection techniques: A review
Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …
recognition task in computer vision and it has received great attention over the past few …
An improved object detection algorithm based on multi-scaled and deformable convolutional neural networks
D Cao, Z Chen, L Gao - Human-centric Computing and Information …, 2020 - Springer
Object detection methods aim to identify all target objects in the target image and determine
the categories and position information in order to achieve machine vision understanding …
the categories and position information in order to achieve machine vision understanding …
A review of object detection models based on convolutional neural network
Convolutional neural network (CNN) has turned to be the state of the art for object detection
task of computer vision. In this chapter, we have reviewed some popular state-of-the-art …
task of computer vision. In this chapter, we have reviewed some popular state-of-the-art …
[图书][B] Advanced applied deep learning: convolutional neural networks and object detection
U Michelucci - 2019 - Springer
This book touches on several research fields, but was not written for very experienced
researchers. It has been written for practitioners who want to start doing research; therefore …
researchers. It has been written for practitioners who want to start doing research; therefore …