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Advances in medical image analysis with vision Transformers: A comprehensive review

Medical Image Analysis
Dorit Merhof, Abin Jose, Reza Azad
exaly  

ViTs as backbones: Leveraging vision transformers for feature extraction

Information Fusion
Ammar Chouchane, Saed Alrabaee, Yassine Himeur   +2 more
exaly  

Mixup Virtual Adversarial Training for Robust Vision Transformers

IEEE Transactions on Big Data
Weili Shi
exaly  

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

IEEE Transactions on Pattern Analysis and Machine Intelligence
Chaoqi Chen, Sibei Yang, Xiaoguang Han
exaly  

Multivariate image processing in minerals engineering with vision transformers

Minerals Engineering
Chris Aldrich, Xiu Liu
exaly  

Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

Ophthalmology Science
Yih Chung Tham, Ten Cheer Quek, Sahana Srinivasan   +2 more
exaly  

Quantum Vision Transformers [PDF]

Quantum
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language processing and image analysis.
El Amine Cherrat, Iordanis Kerenidis, Natansh Mathur, Jonas Landman, Martin Strahm, Yun Yvonna Li   +5 more
doaj   +6 more sources

ViTFER: Facial Emotion Recognition with Vision Transformers

Applied System Innovation, 2022
In several fields nowadays, automated emotion recognition has been shown to be a highly powerful tool. Mapping different facial expressions to their respective emotional states is the main objective of facial emotion recognition (FER).
Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna, Pier Luigi Mazzeo   +3 more
doaj   +3 more sources

Self-attention in vision transformers performs perceptual grouping, not attention

Frontiers in Computer Science, 2023
Recently, a considerable number of studies in computer vision involve deep neural architectures called vision transformers. Visual processing in these models incorporates computational models that are claimed to implement attention mechanisms. Despite an
Paria Mehrani, John K. Tsotsos
doaj   +3 more sources

Vision Transformers for Remote Sensing Image Classification

Remote Sensing, 2021
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in ...
Yakoub Bazi, Laila Bashmal, Mohamad M. Al Rahhal, Reham Al Dayil, Naif Al Ajlan   +4 more
doaj   +3 more sources