An efficient approach for object detection using deep learning
Object identification is more significant application in Deep learning innovation which is
recognized by areas of strength for its element learning and component portrayal contrasted …
recognized by areas of strength for its element learning and component portrayal contrasted …
Retracted: Object detection and recognition using deep learning‐based techniques
The above article from IET Communications, published online on 17 October 2022 in Wiley
Online Library (wileyonlinelibrary. com), has been retracted by agreement between the …
Online Library (wileyonlinelibrary. com), has been retracted by agreement between the …
A survey on deep learning approaches to medical images and a systematic look up into real-time object detection
The article focuses on the gentle introduction of Artificial Intelligence and the concepts of
machine learning (ML) and deep learning (DL). The rapid developments made in DL …
machine learning (ML) and deep learning (DL). The rapid developments made in DL …
Survey of deep learning based object detection
W Hechun, Z Xiaohong - … of the 2nd International Conference on Big …, 2019 - dl.acm.org
The main tasks of computer vision are image classification/location, target detection, target
tracking, semantic segmentation and instance segmentation. The task of target detection is …
tracking, semantic segmentation and instance segmentation. The task of target detection is …
A review of research on object detection based on deep learning
J Deng, X Xuan, W Wang, Z Li, H Yao… - Journal of Physics …, 2020 - iopscience.iop.org
As one of the important tasks in computer vision, target detection has become an important
research hotspot in the past 20 years and has been widely used. It aims to quickly and …
research hotspot in the past 20 years and has been widely used. It aims to quickly and …
Object detection approaches in images: a survey
H Ouchra, A Belangour - Thirteenth International Conference …, 2021 - spiedigitallibrary.org
Computer vision is a field of artificial intelligence that trains computers to gain high-level
understanding from images or videos. Among the most well-known subfields in Computer …
understanding from images or videos. Among the most well-known subfields in Computer …
An overview of deep learning based object detection techniques
C Bhagya, A Shyna - 2019 1st International Conference on …, 2019 - ieeexplore.ieee.org
Recent years have witnessed a boundless growth in the field of deep learning. With the
preferment in the field of deep learning, the task of object detection has become more …
preferment in the field of deep learning, the task of object detection has become more …
Comparison of RetinaNet, SSD, and YOLO v3 for real-time pill identification
L Tan, T Huangfu, L Wu, W Chen - BMC medical informatics and decision …, 2021 - Springer
Background The correct identification of pills is very important to ensure the safe
administration of drugs to patients. Here, we use three current mainstream object detection …
administration of drugs to patients. Here, we use three current mainstream object detection …
Investigations of object detection in images/videos using various deep learning techniques and embedded platforms—A comprehensive review
In recent years there has been remarkable progress in one computer vision application
area: object detection. One of the most challenging and fundamental problems in object …
area: object detection. One of the most challenging and fundamental problems in object …
[PDF][PDF] Deep learning approaches for automatic localization in medical images
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
achievements in various complicated computer vision tasks. e remarkable successes and …
achievements in various complicated computer vision tasks. e remarkable successes and …