Results 61 to 70 of about 98,087,126 (282)

Unsupervised Image-to-Image Translation with Generative Prior

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it remains challenging to build mappings between complex domains with drastic visual discrepancies.
Shuai Yang 0001   +3 more
openaire   +2 more sources

InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing

open access: yesIEEE Access, 2020
Existing image-to-image translation methods usually incorporate encoder-decoder and generative adversarial networks to generate images. The encoder compresses an entire image into a static representation using a sequence of convolution layers until a ...
Chen Ding   +3 more
doaj   +1 more source

Enhanced Unpaired Image-to-Image Translation via Transformation in Saliency Domain

open access: yesIEEE Access, 2023
Unpaired image to image translation is the task of converting images in unpaired datasets. The primary goal of the task is to translate a source image into the image aligned with the target domain while keeping the fundamental content.
Kei Shibasaki, Masaaki Ikehara
doaj   +1 more source

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau   +8 more
wiley   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu   +8 more
wiley   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba   +29 more
wiley   +1 more source

The national image of global brands [PDF]

open access: yes, 2002
As the Chinese use characters based on ideograms, international brands have to choose a proper Chinese name for the market. This paper presents the findings from a detailed study of the Chinese names of 100 international brands along three dimensions ...
Fan, Y
core   +1 more source

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques   +5 more
wiley   +1 more source

Unsupervised Attention-guided Image to Image Translation

open access: yesCoRR, 2018
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene. Motivated by the important role of attention in human perception, we tackle this limitation by introducing unsupervised attention mechanisms that are ...
Youssef Alami Mejjati   +4 more
openaire   +4 more sources

Unsupervised Structure-Consistent Image-to-Image Translation

open access: yes, 2022
The Swapping Autoencoder achieved state-of-the-art performance in deep image manipulation and image-to-image translation. We improve this work by introducing a simple yet effective auxiliary module based on gradient reversal layers. The auxiliary module's loss forces the generator to learn to reconstruct an image with an all-zero texture code ...
Shima Shahfar, Charalambos Poullis
openaire   +3 more sources

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