Results 51 to 60 of about 1,298,251 (322)

Survey on Unsupervised Person Re-Identification [PDF]

Jisuanji gongcheng
The primary task of person Re-IDentification (ReID) is to identify and track a specific pedestrian across multiple non-overlapping cameras. With the development of deep neural networks and owing to the increasing demand for intelligent video surveillance,
TIAN Qing, WANG Bin, ZHOU Zixiao
doaj   +1 more source

Semantics-Aligned Representation Learning for Person Re-identification

, 2020
Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally semantically misaligned due to the diversity of human poses and capture ...
Chen, Zhibo, Jin, Xin, Lan, Cuiling, Wei, Guoqiang, Zeng, Wenjun   +4 more
core   +1 more source

Person Re-identification Using Group Context [PDF]

, 2018
The person re-identification task consists in matching person images detected from surveillance cameras with non-overlapping fields of view. Most existing approaches are based on the person’s visual appearance. However, one of the main challenges, especially for a large gallery set, is that many people wear very similar clothing.
Chen, Yiqiang, Duffner, Stefan, Stoian, Andrei, Dufour, Jean-Yves, Baskurt, Atilla   +4 more
openaire   +2 more sources

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

Pediatric 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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Multi‐stage attention network for video‐based person re‐identification

IET Computer Vision, 2022
Video‐based person re‐identification (Re‐ID) has received increasing attention in video surveillance analysis in recent years. To extract relevant information of the target, many existing methods utilise the attention mechanism in the residual block of ...
Fan Yang, Wei Li, Binbin Liang, Songchen Han, Xuan Zhu   +4 more
doaj   +1 more source

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

Pediatric 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, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Multi‐directional saliency metric learning for person re‐identification

IET Computer Vision, 2016
A multi‐directional salience based similarity evaluation for person re‐identification (re‐id) is presented. After distribution analysis for salience consistency between image pairs, a similarity between matched patches is established by weighted fusion ...
Ying Chen, Zhonghua Huo, Chunjian Hua
doaj   +1 more source

Temporal Model Adaptation for Person Re-Identification

, 2016
Person re-identification is an open and challenging problem in computer vision. Majority of the efforts have been spent either to design the best feature representation or to learn the optimal matching metric.
AJ Joshi, B Settles, D Tao, D Tao, EP Xing, G Chechik, G Lisanti, H Xia, J Chen, J García, KQ Weinberger, M Hirzer, M Pavan, N Martinel, N Martinel, N Martinel, Peter M. Roth, R Johnson, R Vezzani, R Zhang, S Boyd, WS Zheng, WS Zheng, Xiaochun Cao, Z Wang, Z Wu, ZC Guo   +26 more
core   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

Support Neighbor Loss for Person Re-Identification

, 2018
Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming, Fu, Yun, Li, Kai, Li, Kunpeng, Zhang, Yulun   +4 more
core   +1 more source