Results 91 to 100 of about 236,517 (308)
LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion
Person re-identification (Re-ID) in real-world scenarios is challenged by occlusions, viewpoint variations, and individuals with similar attributes. Existing methods predominantly rely on salient regions, yet such regions often become unreliable under ...
Minglang Li +3 more
doaj +1 more source
Person Re-Identification Based on Multi-Parts of Local Feature Network
Person re-identification has become increasing popular because of its widely application in computer vision. In this paper, we propose a novel, simple and efficient person re-id network called MPLFN.
Zimian Wei +4 more
doaj +1 more source
Ensemble Feature for Person Re-Identification
In person re-identification (re-ID), the key task is feature representation, which is used to compute distance or similarity in prediction. Person re-ID achieves great improvement when deep learning methods are introduced to tackle this problem. The features extracted by convolutional neural networks (CNN) are more effective and discriminative than the
Jiabao Wang 0001 +2 more
openaire +2 more sources
ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi +6 more
wiley +1 more source
Multi-domain adversarial feature generalization for person re-identification
Multi-domain adversarial feature generalization for person re ...
AC Kot (14447814) +2 more
core
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Learning deep part-aware embedding for person retrieval
Person retrieval is an important vision task, aiming at matching the images of the same person under various camera views. The key challenge of person retrieval lies in the large intra-class variations among the person images.
Shen, Chunhua +11 more
core +1 more source
Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI. [PDF]
Li P +4 more
europepmc +1 more source
Discriminative features of Borderline Personality Disorder
This study investigated some discriminative features of Borderline Personality Disorder (BPD) with both clinical and normal samples using a self-report questionnaire. This questionnaire was administered to 116 clinical outpatients (diagnoses: thirty two BPD; twenty four schizophrenia; twenty six depression; twenty nine neurosis; and five other mental ...
Tamura, Kazuko, Kako, Inoue
openaire +3 more sources

