Results 101 to 110 of about 7,417,847 (369)

Centered Multi-Task Generative Adversarial Network for Small Object Detection

Sensors, 2021
Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sensors.
Hongfeng Wang, Jianzhong Wang, Kemeng Bai, Yong Sun   +3 more
doaj   +1 more source

Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops [PDF]

, 2022
Juan Manuel López-Correa, Hugo Moreno, Ángela Ribeiro, Dionisio Andújar   +3 more
openalex   +1 more source

Continual Detection Transformer for Incremental Object Detection

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Incremental object detection (IOD) aims to train an object detector in phases, each with annotations for new object categories. As other incremental settings, IOD is subject to catastrophic forgetting, which is often addressed by techniques such as knowledge distillation (KD) and exemplar replay (ER).
Liu, Y., Schiele, B. ; https://orcid.org/0000-0001-9683-5237, Vedaldi, A., Rupprecht, C.   +3 more
openaire   +3 more sources

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Review on One-Stage Object Detection Based on Deep Learning

EAI Endorsed Transactions on e-Learning, 2022
As a popular research direction in computer vision, deep learning technology has promoted breakthroughs in the field of object detection. In recent years, the combination of object detection and the Internet of Things (IoT) has been widely used in the ...
Hang Zhang, Rayan S Cloutier
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Toward Versatile Small Object Detection with Temporal-YOLOv8

Sensors
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga   +4 more
doaj   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Improving object detection by enhancing the effect of localisation quality evaluation on detection confidence

IET Computer Vision
The one‐stage object detector has been widely applied in many computer vision applications due to its high detection efficiency and simple framework.
Zuyi Wang, Wei Zhao, Li Xu
doaj   +1 more source

Lightweight marine biodetection model based on improved YOLOv10

Alexandria Engineering Journal
In IoT-enabled marine biology, real-time monitoring of marine organisms faces challenges due to blurred images and complex underwater backgrounds, which hinder feature extraction and lead to missed detections.
Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng   +3 more
doaj   +1 more source