Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review

Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review

Transformers are models that implement a mechanism of self-attention, individually weighting the importance of each part of the input data. Their use in image classification tasks is still somewhat limited since researchers have so far chosen Convolutional Neural Networks for image classification an...

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Bibliographic Details
Main Authors: José Maurício, Inês Domingues, Jorge Bernardino
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
transformers
Vision Transformers (ViT)
convolutional neural networks
multi-head attention
image classification
Online Access:https://www.mdpi.com/2076-3417/13/9/5521

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