Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.

Abstract: Feature representation is crucial for hyperspectral image (HSI) classification. However, existing convolutional neural network (CNN)-based methods are limited by the convolution kernel and ...

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...

The chattering class is consumed this morning by two interlocking questions: who will actually run CNN once the Paramount-Warner Bros. Discovery deal closes, and whether Bari Weiss is up to the job.

After Russia invaded Ukraine in 2022, social media was littered with crude fakes that were presented as fresh images of the war but were either photoshopped phonies or mislabeled clips taken from ...

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...