Results 71 to 80 of about 24,887 (267)

FSwin Transformer: Feature-Space Window Attention Vision Transformer for Image Classification

IEEE Access
The vision transformer (ViT) with global self-attention exhibits quadratic computational complexity that depends on the image size. To address this issue, window-based self-attention ViT limits attention area to a specific window, thereby mitigating the ...
Dayeon Yoo, Jeesu Kim, Jinwoo Yoo
doaj   +1 more source

High Performance Durable Vanadium Dioxide Spectral Selective Modulation Smart Windows

Advanced Functional Materials, EarlyView.
Crystallinity‐enhanced VO2 nanoparticles with a self‐limited amorphous oxidation shell achieve an order of magnitude durability improvement and high spectral selective modulation performance (luminous transmittance of 28.5%, solar modulation of 10.5%, and mid‐infrared emissivity modulation of 0.5) for smart windows.
Bin Li, Di Zhang, Guanya Wang, Rong Liu, Shouqin Tian, Xiujian Zhao, Zhimei Sun, Yi Long   +7 more
wiley   +1 more source

An In Situ Oxidation Strategy for Ti3C2@TiO2 Heterojunction: Narrow‐Band Photodetection and Trace Chromium Ion Determination

Advanced Functional Materials, EarlyView.
A Ti3C2@TiO2 heterostructure has been successfully fabricated by an in situ oxidation approach. The as‐fabricated Ti3C2@TiO2‐based photodetector exhibits narrow‐spectrum response with excellent stability. It also realizes sensitive Cr(VI) detection in a large concentration range of 10−12–10−6 M with an ultra‐low detection limit of 7.6 × 10−12 M ...
Jiahui Hou, Jiale Ai, Mingqi He, Yang Wu, Lingniu Yang, Yingjie Yuan, Xuanhao Lao, Artem V. Kuklin, Liang Chen, Hans Ågren, Lingfeng Gao, Youju Huang   +11 more
wiley   +1 more source

Biomedical image classification using vision transformer [PDF]

E3S Web of Conferences
Particularly in the areas of public health and welfare, biomedical image classification plays a significant role in advancing the Sustainable Development Goals (SDGs).
Tjahyaningtijas Hapsari Peni Agustin, Nashrullah Muhammad Aamir, Puspitaningayu Pradini, Rakhmawati Lusia, Yamasari Yuni, Paragas Jessie R.   +5 more
doaj   +1 more source

Gellan Gum Fluid Gel System for Controlled‐Delivery of Cytokine‐Licensed MSC‐EVs to Enhance Corneal Repair in Limbal Stem Cell Deficiency

Advanced Healthcare Materials, EarlyView.
Gellan gum fluid gel (FG) enables controlled ocular delivery of mesenchymal stromal cell (MSC)‐derived extracellular vesicles (EV). Its shear‐thinning, solid‐liquid‐solid rheology ensures prolonged ocular retention. Sustained MSC‐EV release (∼18% in 6 hrs) supports effective EV ocular delivery.
Seyedmohammad Moosavizadeh, Ava Dashti, Thomas E. Robinson, Robyn Gaffey, Richard Moakes, Neil Lagali, Liam Grover, Thomas Ritter   +7 more
wiley   +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 0001, Jing Zhang 0037, Yufei Xu, Dacheng Tao   +3 more
openaire   +3 more sources

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Vision transformer for contrastive clustering

Knowledge-Based Systems
Vision Transformer (ViT) has shown its advantages over the convolutional neural network (CNN) with its ability to capture global long-range dependencies for visual representation learning. Besides ViT, contrastive learning is another popular research topic recently. While previous contrastive learning works are mostly based on CNNs, some recent studies
Hua-Bao Ling, Bowen Zhu, Dong Huang 0001, Ding-Hua Chen, Chang-Dong Wang 0001, Jian-Huang Lai   +5 more
openaire   +2 more sources

Enhancing Security: Infused Hybrid Vision Transformer for Signature Verification

IEEE Access
Handwritten signature verification is challenging because there is a huge variation between the orientation thickness and appearance of handwritten signatures.
Muhammad Ishfaq, Ayesha Saadia, Faeiz M. Alserhani, Ammara Gul   +3 more
doaj   +1 more source

DeepFake Video Detection using Vision Transformer [PDF]

International Journal of Intelligent Computing and Information Sciences
Technology is always a double-edged sword, and with the astonishing advancements in technology, it is expected that the DeepFake problem will become more common and serious.
Shereen Hussien, Seif Mohamed
doaj   +1 more source