Data from multimodalities bring complementary information for deep learning-based medical image classification models. However, data fusion methods simply concatenating features or images barely ...

The coral-reef-training AWS S3 bucket provides a single, open, well-structured, growing, community-sourced repository of coral reef image classification training data. Hosted at ...

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 ...

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 ...

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 ...

Humans are innately curious and we're surrounded by people and things that pique our interest. Maybe a cute pair of shoes catches your eye while scrolling through your social media newsfeeds. Or it ...

The model can be trained on a single GPU with more than 12 GB of memory.

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 ...

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 ...