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

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in ...

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

The company will allow users of its Gemini chatbot to create images of people with artificial intelligence after disabling the feature six months ago. By Nico Grant Reporting from San Francisco In ...

Abstract: Fashion image classification is an emerging field of research. Examples of numerous e-commerce applications that rely on fashion image classification include recommendation systems, ...

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.

To efficiently capture feature information in tasks of fine-grained image classification, this study introduces a new network model for fine-grained image classification, which utilizes a hybrid ...

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 ...