Results 41 to 50 of about 1,457,631 (249)

Semantic-Aware Local-Global Vision Transformer [PDF]

, 2022
Vision Transformers have achieved remarkable progresses, among which Swin Transformer has demonstrated the tremendous potential of Transformer for vision tasks.
Zhang, Jiatong, Lu, Guangming, Pei, Wenjie, Chen, Fanglin, Yao, Zengwei   +4 more
core   +1 more source

GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition [PDF]

PeerJ Computer Science
In image recognition tasks, subjects with long distances and low resolution remain a challenge, whereas gait recognition, identifying subjects by walking patterns, is considered one of the most promising biometric technologies due to its stability and ...
Hongyun Sheng
doaj   +2 more sources

Transforming glaucoma diagnosis: transformers at the forefront

Frontiers in Artificial Intelligence
Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.
Farheen Chincholi, Harald Koestler
doaj   +1 more source

A Survey of Techniques for Optimizing Transformer Inference [PDF]

, 2023
Recent years have seen a phenomenal rise in performance and applications of transformer neural networks. The family of transformer networks, including Bidirectional Encoder Representations from Transformer (BERT), Generative Pretrained Transformer (GPT ...
Chitty-Venkata, Krishna Teja, Mittal, Sparsh, Somani, Arun, Vishwanath, Venkatram, Emani, Murali   +4 more
core  

Leveraging Transfer Learning for Accurate CRP Level Prediction in Diabetic Patients

Zanco Journal of Pure and Applied Sciences
This study addresses the challenge of predicting C-reactive protein (CRP) levels in patients with type 2 diabetes mellitus by integrating tabular-to-image transformation techniques with transfer learning architectures.
Alaa J. Albaqal, Mardin A. Anwar
doaj   +1 more source

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review

BMC Medical Imaging, 2023
Background Vision transformer-based methods are advancing the field of medical artificial intelligence and cancer imaging, including lung cancer applications.
Hazrat Ali, Farida Mohsen, Zubair Shah
doaj   +1 more source

Gait-ViT: Gait Recognition with Vision Transformer

Sensors, 2022
Identifying an individual based on their physical/behavioral characteristics is known as biometric recognition. Gait is one of the most reliable biometrics due to its advantages, such as being perceivable at a long distance and difficult to replicate ...
Jashila Nair Mogan, Chin Poo Lee, Kian Ming Lim, Kalaiarasi Sonai Muthu   +3 more
doaj   +1 more source

Grafting Vision Transformers

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Vision Transformers (ViTs) have recently become the state-of-the-art across many computer vision tasks. In contrast to convolutional networks (CNNs), ViTs enable global information sharing even within shallow layers of a network, i.e., among high-resolution features. However, this perk was later overlooked with the success of pyramid architectures such
Jongwoo Park 0003, Kumara Kahatapitiya, Donghyun Kim 0006, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo   +5 more
openaire   +2 more sources

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

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