Results 51 to 60 of about 6,818,996 (307)
Image Compression Network Structure Based on Multiscale Region of Interest Attention Network
Remote Sensing, 2023 In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI.
Jing Zhang +4 more
doaj +1 more source
Attention trades off spatial acuity
Vision Research, 2009 Covertly attending to a stimulus location increases spatial acuity. Is such increased spatial acuity coupled with a decreased acuity at unattended locations? We measured the effects of exogenous (transient and involuntary) and endogenous (sustained and voluntary) attention on observers' acuity thresholds for a Landolt gap resolution task at both ...
Montagna, Barbara +2 more
openaire +2 more sources
Nature Communications, 2021 Recent advances in spatially resolved transcriptomics have enabled comprehensive measurements of gene expression patterns while retaining the spatial context of the tissue microenvironment.
Kangning Dong, Shihua Zhang
semanticscholar +1 more source
Facial Landmark Detection via Attention-Adaptive Deep Network
IEEE Access, 2019 Facial landmark detection is a key component of the face recognition pipeline as well as facial attribute analysis and face verification. Recently convolutional neural network-based face alignment methods have achieved significant improvement, but ...
Muhammad Sadiq +3 more
doaj +1 more source
Attentional Orienting by Non-informative Cue Is Shaped via Reinforcement Learning
Frontiers in Psychology, 2020 It has been demonstrated that a reward-associated stimulus feature captures attention involuntarily. The present study tested whether spatial attentional orienting is biased via reinforcement learning.
Sang A. Cho, Yang Seok Cho
doaj +1 more source
Decoding attention control and selection in visual spatial attention
Human Brain Mapping, 2020 Abstract Event‐related potentials (ERPs) are used extensively to investigate the neural mechanisms of attention control and selection. The univariate ERP approach, however, has left important questions inadequately answered. We addressed two questions by applying multivariate pattern classification to multichannel
Hong, Xiangfei +4 more
openaire +2 more sources
Dual Attention Network for Scene Segmentation [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale features fusion, we propose a Dual Attention Networks (DANet)
J. Fu +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Attentional Distribution and Spatial Language [PDF]
, 2014 Whether visual spatial attention can be split to several discontinuous locations concurrently is still an open and intensely debated question. We address this question in the domain of spatial language use by comparing two existing and three newly proposed computational models.
Kluth, Thomas +5 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source