IEEE

Efficient Document Image Classification Using Deep Learning Enhance with CNN Architectures

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Improving Robustness and Reliability in Medical Image Classification With Latent-Guided Diffusion and Nested-Ensembles

Abstract: Once deployed, medical image analysis methods are often faced with unexpected image corruptions and noise perturbations. These unknown covariate shifts present significant challenges to deep ...
Hosted on MSN

CNN poll: 56% believe Minneapolis ICE shooting was not appropriate use of force

CNN’s Harry Enten breaks down the numbers. Republican signals support for Trump impeachment 17 college basketball players charged in point-shaving scheme: Indictment I asked 3 restaurant pros to name ...
IEEE

Explaining Fine-Grained Image Classification Using Evolutionary Search and the Stable Diffusion Model

Abstract: Deep learning models have shown impressive performance across a range of computer vision tasks. However, their lack of transparency limits their adoption in tasks where a clear understanding ...
CNN

After ‘digital undressing’ criticism, Elon Musk’s Grok limits some image generation to paid subscribers

Elon Musk’s Grok chatbot has limited some of its Imagine image generation features to paid X subscribers, days after international uproar over the AI tool responded to user requests by “digitally ...
IEEE

Matching Street View Images for the Classification of Urban Land Use From Very-High-Resolution Remote Sensing Images

Abstract: Street view (SV) images provide valuable supplementary data for characterizing the functional attributes of land use types, improving urban land use classification based on ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

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 ...
CNN

How to avoid getting into trouble when using AI at work

Love it or hate it, AI is increasingly becoming integral to the way we work. So, like a lot of employees, you’ve started using it for your assignments. That’s great – unless you’re not clear on what ...
IEEE

Open-Set Domain Adaptation for Hyperspectral Image Classification Based on Reconstruction Discrepancy and Feature Alignment

Abstract: For hyperspectral image classification, domain adaptation algorithms often assume that the source domain and target domain share the same label space, and thus, classify all samples in the ...