IEEE

Uncertainty-Aware Local Bayesian Framework for Hyperspectral Image Classification With Noisy Labels

Abstract: Various deep learning-based methods have greatly improved hyperspectral image (HSI) classification performance, but these models are sensitive to noisy training labels. Human annotation on ...
IEEE

CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification

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.
IEEE

Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification

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 ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

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

ONE SHEET: Who Gets to Run CNN? Media Fight Over Iran War, Hegseth Image Problem and More!

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.
CNN

Fake explosions, fake missiles, fake troops: AI videos and images of Iran war spread widely on social media

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 ...