Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: Although Convolutional Neural Networks (CNNs) have achieved remarkable success in image classification, most CNNs use image datasets in the Red-Green-Blue (RGB) color space (one of the most ...

1 Department of Mathematical Sciences, Sol Plaatje University, Kimberley, South Africa 2 Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa Deep ...

In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision Transformer method ...

For this website, I constantly need to upscale the images I have. But going to other websites and upscaling my images raises a question about that data’s privacy.