Results 61 to 70 of about 342,749 (263)

Fused Text Segmentation Networks for Multi-oriented Scene Text Detection

, 2018
In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.
Chen, Kai, Dai, Yuchen, Gao, Yuting, Guo, Jie, Huang, Zheng, Qiu, Weidong, Xu, Youxuan   +6 more
core   +1 more source

Foveated Instance Segmentation

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Instance segmentation is essential for augmented reality and virtual reality (AR/VR) as it enables precise object recognition and interaction, enhancing the integration of virtual and real-world elements for an immersive experience. However, the high computational overhead of segmentation limits its application on resource-constrained AR/VR devices ...
Zeng, Hongyi, Liu, Wenxuan, Xia, Tianhua, Chen, Jinhui, Li, Ziyun, Zhang, Sai Qian   +5 more
openaire   +2 more sources

Localized Interactive Instance Segmentation [PDF]

, 2019
In current interactive instance segmentation works, the user is granted a free hand when providing clicks to segment an object; clicks are allowed on background pixels and other object instances far from the target object. This form of interaction is highly inconsistent with the end goal of efficiently isolating objects of interest.
Soumajit Majumder, Angela Yao
openaire   +2 more sources

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

TernausNetV2: Fully Convolutional Network for Instance Segmentation

, 2018
The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural networks.
Buslaev, Alexander V., Iglovikov, Vladimir I., Seferbekov, Selim, Shvets, Alexey   +3 more
core   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

CenterInst: Center-Based Real-Time Instance Segmentation

Applied Sciences
Instance segmentation is a computer vision task that aims to give each pixel in an image an instance-specific label. Recently, researchers have shown growing interest in real-time instance segmentation. In this paper, we propose a novel center-based real-
Shu Tian, Liang Ren
doaj   +1 more source

RC-Net: Regression Correction for End-To-End Chromosome Instance Segmentation

Frontiers in Genetics, 2022
Precise segmentation of chromosome in the real image achieved by a microscope is significant for karyotype analysis. The segmentation of image is usually achieved by a pixel-level classification task, which considers different instances as different ...
Hui Liu, Hui Liu, Guangjie Wang, Sifan Song, Daiyun Huang, Lin Zhang, Lin Zhang   +6 more
doaj   +1 more source

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features

, 2017
In this work, we tackle the problem of instance segmentation, the task of simultaneously solving object detection and semantic segmentation. Towards this goal, we present a model, called MaskLab, which produces three outputs: box detection, semantic ...
Adam, Hartwig, Chen, Liang-Chieh, Hermans, Alexander, Papandreou, George, Schroff, Florian, Wang, Peng   +5 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source