Results 61 to 70 of about 1,485,416 (350)

An Adaptive Network for Arbitrary-Oriented and Small Object Detection in Remote Sensing Images

IEEE Access
To address the challenges posed by detection of arbitrary orientation object and small object in remote sensing imagery, this paper proposes an innovative object detection model based on YOLOv8, named YOLOv8-DFS.
Zhiyong Zeng, Chao Wu, Wenqi Zeng
doaj   +1 more source

Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion

Remote Sensing, 2022
As one type of object detection, small object detection has been widely used in daily-life-related applications with many real-time requirements, such as autopilot and navigation.
Guanqiu Qi, Yuanchuan Zhang, Kunpeng Wang, Neal Mazur, Yang Liu, Devanshi Malaviya   +5 more
doaj   +1 more source

Context-Aware Single-Shot Detector

, 2018
SSD is one of the state-of-the-art object detection algorithms, and it combines high detection accuracy with real-time speed. However, it is widely recognized that SSD is less accurate in detecting small objects compared to large objects, because it ...
Athitsos, Vassilis, Xiang, Wei, Yu, Heather, Zhang, Dong-Qing   +3 more
core   +1 more source

Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach

Information
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni, Boutaina Hdioud, Sanaa El Fkihi   +2 more
doaj   +1 more source

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small, Pi Chun Cheng, April L. Rahrig, Courtney M. Rowan   +3 more
wiley   +1 more source

Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution

, 2019
In this paper, we describe a strategy for training neural networks for object detection in range images obtained from one type of LiDAR sensor using labeled data from a different type of LiDAR sensor. Additionally, an efficient model for object detection
Dietmayer, Klaus, Herzog, Manuel
core   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Using Deep Networks for Drone Detection

, 2017
Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks.
Aker, Cemal, Kalkan, Sinan
core   +1 more source

Feature-fused SSD: fast detection for small objects [PDF]

Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 2018
Small objects detection is a challenging task in computer vision due to its limited resolution and information. In order to solve this problem, the majority of existing methods sacrifice speed for improvement in accuracy. In this paper, we aim to detect small objects at a fast speed, using the best object detector Single Shot Multibox Detector (SSD ...
Cao, Guimei, Xie, Xuemei, Yang, Wenzhe, Liao, Quan, Shi, Guangming, Wu, Jinjian   +5 more
openaire   +2 more sources

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source