Results 51 to 60 of about 96,008 (322)

QuadTree Attention for Vision Transformers

CoRR, 2022
Transformers have been successful in many vision tasks, thanks to their capability of capturing long-range dependency. However, their quadratic computational complexity poses a major obstacle for applying them to vision tasks requiring dense predictions, such as object detection, feature matching, stereo, etc.
Tang, Shitao, Zhang, Jiahui, Zhu, Siyu, Tan, Ping   +3 more
openaire   +4 more sources

Through-Ice Acoustic Source Tracking Using Vision Transformers with Ordinal Classification

Sensors, 2022
Ice environments pose challenges for conventional underwater acoustic localization techniques due to their multipath and non-linear nature. In this paper, we compare different deep learning networks, such as Transformers, Convolutional Neural Networks ...
Steven Whitaker, Andrew Barnard, George D. Anderson, Timothy C. Havens   +3 more
doaj   +1 more source

A Mission of the Heart: What Does It Take to Transform a School? 2008 [PDF]

, 2008
Based on interviews and focus group discussions with principals and superintendents, examines the leadership skills, commitments, resources, and supports needed to turn around low-performing schools and how to recruit and retain qualified ...

core  

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

Permeability Prediction Using Vision Transformers

Mathematical and Computational Applications
Accurate permeability predictions remain pivotal for understanding fluid flow in porous media, influencing crucial operations across petroleum engineering, hydrogeology, and related fields.
Cenk Temizel, Uchenna Odi, Kehao Li, Lei Liu, Salih Tutun, Javier Santos   +5 more
doaj   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images

Healthcare Analytics
This study leverages machine learning to enhance the diagnostic accuracy of COVID-19 using chest X-rays. The study evaluates various architectures, including efficient neural networks (EfficientNet), multiscale vision transformers (MViT), efficient ...
Tianyi Chen, Ian Philippi, Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Carlo daCunha, Tuy Tan Nguyen   +6 more
doaj   +1 more source

Artwork Style Recognition Using Vision Transformers and MLP Mixer

Technologies, 2021
Through the extensive study of transformers, attention mechanisms have emerged as potentially more powerful than sequential recurrent processing and convolution.
Lazaros Alexios Iliadis, Spyridon Nikolaidis, Panagiotis Sarigiannidis, Shaohua Wan, Sotirios K. Goudos   +4 more
doaj   +1 more source

A Provable Defense for Deep Residual Networks

, 2019
We present a training system, which can provably defend significantly larger neural networks than previously possible, including ResNet-34 and DenseNet-100. Our approach is based on differentiable abstract interpretation and introduces two novel concepts:
Mirman, Matthew, Singh, Gagandeep, Vechev, Martin   +2 more
core   +1 more source

Transforming vision into action

Vision Research, 2011
Traditionally, research on vision focused on its role in perception and our cognitive life. Except for the study of eye movements, which have been regarded as an information-seeking adjunct to visual perception, little attention was paid to the way in which vision is used to control our actions, particularly the movements of our hands and limbs.
openaire   +2 more sources