Results 51 to 60 of about 1,101,361 (277)

RGBD Salient Object Detection, Based on Specific Object Imaging

Sensors, 2022
RGBD salient object detection, based on the convolutional neural network, has achieved rapid development in recent years. However, existing models often focus on detecting salient object edges, instead of objects.
Xiaolian Liao, Jun Li, Leyi Li, Caoxi Shangguan, Shaoyan Huang   +4 more
doaj   +1 more source

Deep Regionlets for Object Detection

, 2018
In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for accurate generic object detection.
Kaiming He, M Everingham, PF Felzenszwalb, S Mallat, S Ren, T Ahonen, Tsung-Yi Lin, W Ouyang, Wei Liu, X Wang   +9 more
core   +1 more source

Towards Dependable Object Detection

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
A high confidence in object detection is very crucial for object detector modules to be used in real world applications. Though the confidence scores in object detection can be improved by using better and larger training data set and using more robust architectures, which is an approach from the computer vision side, this paper aims to improve the ...
Muthuchamy Selvaraj, Nithish, Muhammad, Ilyas, Cheah, Chien Chern   +2 more
openaire   +2 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

Object Detection

International Journal of Advanced Research in Science, Communication and Technology
With applications in image identification, augmented reality, autonomous driving, and surveillance, Itis crucial to this computer-vision. In this project uses sophisticated deep learning techniques to accomplish the thing detecting in Python. It makes use of neural networks using pre-trained convolutions (CNN) models, It is Used YOLO (You Only Look ...
Peng Long, Yu Song
openaire   +2 more sources

A Survey of Zero-Shot Object Detection

Big Data Mining and Analytics
Zero-Shot object Detection (ZSD), one of the most challenging problems in the field of object detection, aims to accurately identify new categories that are not encountered during training. Recent advancements in deep learning and increased computational
Weipeng Cao, Xuyang Yao, Zhiwu Xu, Ye Liu, Yinghui Pan, Zhong Ming   +5 more
doaj   +1 more source

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

, 2020
In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate the object tracking step from the object detection step by ...
Cai, Zhaowei, Chang, Ming-Ching, Du, Dawei, Lei, Zhen, Lim, Jongwoo, Lyu, Siwei, Qi, Honggang, Wen, Longyin, Yang, Ming-Hsuan   +8 more
core   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint

IEEE Access
The development of technological devices, such as satellites and drones, has made it easier to collect images and videos from the air. From these vast data sources, the problem of detecting objects in aerial images is formed to serve situations: rescue ...
Nguyen D. Vo, Huong-Giang Ngo, Toan Le, Quang Nguyen, Danh-Du Doan, Binh Nguyen, Do Le-Huu, Nguyen Le-Duy, Huy Tran, Khanh-Duy Nguyen, Khang Nguyen   +10 more
doaj   +1 more source