Results 81 to 90 of about 1,298,251 (322)
A Color/Illuminance Aware Data Augmentation and Style Adaptation Approach to Person Re-Identification [PDF]
, 2021 Zhouchi Lin +3 more
openalex +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared\n Person Re-Identification [PDF]
, 2022 Zhipeng Huang +4 more
openalex +1 more source
Global Contrastive Person Re-identification
Journal of Physics: Conference Series, 2021 Abstract Solving the problem of pedestrians being occluded by objects is extremely challenging. Using part-level features to describe pedestrian images can provide fine-grained information. However, only paying attention to the local features of body will lack global pedestrian information. And the network consumes time and memory.
Shengyu Pei, Xiaoping Fan
openaire +1 more source
Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle +5 more
wiley +1 more source
Deep Classification Consistency for Person Re-Identification
IEEE Access, 2020 Person re-identification (Re-ID) has greatly benefited from utilizing features of different levels. Most methods draw support from elegant network designs and elaborate fusion modules.
Yuhao Bian +4 more
doaj +1 more source
Segment attention‐guided part‐aligned network for person re‐identification
Electronics Letters, 2021 Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re‐identification. This letter examines Res2Net as the backbone network to extract multi‐scale appearance features. At the same
Wen Wang, Yongwen Liu, Gaoyun An
doaj +1 more source
Enhancing Person Re-identification in a Self-trained Subspace
, 2017 Despite the promising progress made in recent years, person re-identification (re-ID) remains a challenging task due to the complex variations in human appearances from different camera views.
Hong, Richang +4 more
core +1 more source
Universal Person Re-Identification
, 2019 Most state-of-the-art person re-identification (re-id) methods depend on supervised model learning with a large set of cross-view identity labelled training data. Even worse, such trained models are limited to only the same-domain deployment with significantly degraded cross-domain generalization capability, i.e. "domain specific".
Lan, Xu, Zhu, Xiatian, Gong, Shaogang
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source