Results 61 to 70 of about 170,334 (258)

Computer-aided diagnosis of retinopathy based on vision transformer

Journal of Innovative Optical Health Sciences, 2022
Age-related Macular Degeneration (AMD) and Diabetic Macular Edema (DME) are two common retinal diseases for elder people that may ultimately cause irreversible blindness. Timely and accurate diagnosis is essential for the treatment of these diseases.
Zhencun Jiang, Lingyang Wang, Qixin Wu, Yilei Shao, Meixiao Shen, Wenping Jiang, Cuixia Dai   +6 more
doaj   +1 more source

MaxViT: Multi-axis Vision Transformer

, 2022
ECCV 2022; code: https://github.com/google-research/maxvit v1: initials; v2: added GAN visuals; v3: fixed ImageNet-1k acc typos for Maxvit ...
Tu, Zhengzhong, Talebi, Hossein, Zhang, Han, Yang, Feng, Milanfar, Peyman, Bovik, Alan, Li, Yinxiao   +6 more
openaire   +2 more sources

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

UNCONSTRAINED EAR RECOGNITION USING TRANSFORMERS

Jordanian Journal of Computers and Information Technology, 2021
The advantages of the ears as a means of identification over other biometric modalities provided an avenue for researchers to conduct biometric recognition studies on state-of-the-art computing methods.
Marwin Alejo
doaj   +1 more source

Vision Transformer With Quadrangle Attention

IEEE Transactions on Pattern Analysis and Machine Intelligence
Window-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the design of hand-crafted windows, which is data-agnostic, constrains the flexibility of transformers to adapt to objects of varying sizes, shapes, and orientations.
Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao   +3 more
openaire   +3 more sources

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source

SE‐Swin: An improved Swin‐Transfomer network of self‐ensemble feature extraction framework for image retrieval

IET Image Processing
The Swin‐Transformer is a variant of the Vision Transformer, which constructs a hierarchical Transformer that computes representations with shifted windows and window multi‐head self‐attention.
Yixuan Xu, Xianbing Wang, Hua Zhang, Hai Lin   +3 more
doaj   +1 more source

A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The remote sensing image (RSI) scene classification is currently a popular research topic among many remote sensing tasks. However, RSI scene classification still faces challenges such as complex multiscale key features concentrated in different local ...
Yi Liu, Xiang Wu, Jihuan Ren, Jiacun Wang, Yuming Bo, Yuanhao Wang   +5 more
doaj   +1 more source

CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification

Sensors, 2022
Convolutional neural networks (CNNs) have been prominent in most hyperspectral image (HSI) processing applications due to their advantages in extracting local information.
Zhiwen Zhang, Teng Li, Xuebin Tang, Xiang Hu, Yuanxi Peng   +4 more
doaj   +1 more source

Designing Thermally Compatible Template‐Coating Pairs Toward Dimensionally Stable 3D Porous Carbons with Tunable Density

Advanced Functional Materials, EarlyView.
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh, Manuela Campos, Kendrick Xie, Elektra Makris, Jonah Lovejoy, Maya El Shamsy, Chong Liu, Stuart J Rowan   +7 more
wiley   +1 more source