Results 41 to 50 of about 832,071 (273)

Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmentation

open access: yesSensors, 2022
Small object detection has always been a difficult direction in the field of object detection, especially the detection of small objects in UAV aerial images. The images captured by UAVs have the characteristics of small objects and dense objects.
Xiaobin Wang, Dekang Zhu, Ye Yan
doaj   +1 more source

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

open access: yes, 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

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

open access: yesIEEE 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

open access: yesRemote 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   +5 more
doaj   +1 more source

VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection

open access: yes, 2019
Although traffic sign detection has been studied for years and great progress has been made with the rise of deep learning technique, there are still many problems remaining to be addressed.
IEEE   +8 more
core   +1 more source

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

open access: yesInformation
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   +2 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Synthesizing Training Data for Object Detection in Indoor Scenes

open access: yes, 2017
Detection of objects in cluttered indoor environments is one of the key enabling functionalities for service robots. The best performing object detection approaches in computer vision exploit deep Convolutional Neural Networks (CNN) to simultaneously ...
Berg, Alexander C.   +3 more
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

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