Results 71 to 80 of about 1,229,322 (315)

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

Population Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

A survey on person and vehicle re‐identification

IET Computer Vision
Person/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to associate the same person (same vehicle) in the surveillance videos at different locations, different times, and images captured by different cameras so as to ...
Zhaofa Wang, Liyang Wang, Zhiping Shi, Miaomiao Zhang, Qichuan Geng, Na Jiang   +5 more
doaj   +1 more source

End-to-End Occluded Person Re-Identification With Artificial Occlusion Generation

IEEE Access
In recent years, the task of person re-identification (Re-ID) has improved considerably with the advances in deep learning methodologies. However, occluded person Re-ID remains a challenging task, as parts of the body of the individual are frequently ...
Leonardo Capozzi, Jaime S. Cardoso, Ana Rebelo   +2 more
doaj   +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

Learning to Purification for Unsupervised Person Re-Identification

IEEE Transactions on Image Processing, 2023
Unsupervised person re-identification is a challenging and promising task in computer vision. Nowadays unsupervised person re-identification methods have achieved great progress by training with pseudo labels. However, how to purify feature and label noise is less explicitly studied in the unsupervised manner.
Long Lan, Xiao Teng, Jing Zhang, Xiang Zhang, Dacheng Tao   +4 more
openaire   +3 more sources

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

GPAN-PS: Global-Response Pedestrian Attention Network for End-to-End Person Search

IEEE Access
Person search, which involves identifying target pedestrians in extensive galleries through person detection and re-identification, has experienced significant advancements across various applications.
Linlin Zheng, Dezhi Han, Xiaoqi Xin
doaj   +1 more source

MSBA: Multiple Scales, Branches and Attention Network With Bag of Tricks for Person Re-Identification

IEEE Access, 2020
Person re-identification (Re-ID) has become a hot topic in both research and industry. We joined in a person Re-ID challenge of the First National Artificial Intelligence Challenge (China, 2019) and found some model designs and training tricks work great
Hanlin Tan, Huaxin Xiao, Xiaoyu Zhang, Bin Dai, Shiming Lai, Yu Liu, Maojun Zhang   +6 more
doaj   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Learning View-Specific Deep Networks for Person Re-Identification

, 2018
In recent years, a growing body of research has focused on the problem of person re-identification (re-id). The re-id techniques attempt to match the images of pedestrians from disjoint non-overlapping camera views.
Feng, Zhanxiang, Lai, Jianhuang, Xie, Xiaohua   +2 more
core   +1 more source