A new study by researchers from The University of Western Australia has used computer vision to reconstruct the false illusion of 3D shapes created by moth wing patterns. The research, published ...

In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing ... fed into the Transformer encoding block, here set up a ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

Abstract: Recently, vision transformer (ViT)-based deep learning (DL) models have achieved remarkable performance gains in hyperspectral image classification (HSIC) due to their abilities to model ...

Bearing the above-mentioned analysis in mind, this study proposes a novel multi-label retinal image classification model inspired by the original vision ... transformer model. Additionally, the ...

is being done by using computational intelligence techniques and digital leaf images. In computer vision, the problem of detecting plant diseases can be viewed as an image classification task, wherein ...

Unlike traditional Convolutional Neural Networks (CNNs) commonly used in image classification, this project utilizes Transformer models which adapted to handle image data. The goal is to investigate ...

Such CBIR systems primarily use similarity ... 53,000 real facial images. The paper second contribution is presenting three new systems for sketched-real image retrieval based on convolutional ...