IEEE

A Dual-Branch CNN and Metadata Analysis Approach for Robust Image Tampering Detection

Abstract: Image tampering has become a widespread issue due to the availability of advanced tools such as Photoshop, GIMP, and AI-powered technologies like Generative Adversarial Networks (GANs).
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
IEEE

An Experiment Towards the Detectability of Image Steganography Without Using Classifier

In today's digital world and practice, Image steganography become multidisciplinary field that is applied in Public and Private sectors. Meanwhile, it faces many current challenges towards ...
IEEE

Language-Guided and Similarity-Aware Network for Few-Shot Classification of Coastal Wetland Hyperspectral Images

Abstract: In recent years, few-shot learning (FSL) has made significant progress in hyperspectral image classification (HSIC) by transferring meta-knowledge from a source domain with sufficient ...
IEEE

Prototype-Guided Class-Balanced Active Domain Adaptation for Hyperspectral Image Classification

Abstract: The high cost of data annotation has become a major factor restricting the hyperspectral image (HSI) classification task. To address this issue, domain adaptation (DA) techniques have been ...
IEEE

Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...
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 ...
KTVZ

These ancient designs may be the first evidence of humans doing math

(CNN) — Images of plants painted on pottery made up to 8,000 years ago may be the earliest example of humans’ mathematical thought, a study has found. Researchers from the Hebrew University of ...
CNN

Mother of Elon Musk’s son sues his xAI over AI-deepfake images

Ashley St. Clair, the mother of one of Elon Musk’s children, sued Musk’s xAI on Wednesday, alleging that the company’s AI chatbot Grok generated sexually explicit deepfake images of her without her ...
IEEE

Cross-Scale Window Attention for Cross-Domain Hyperspectral Image Classification

Abstract: Hyperspectral image classification (HSIC) is crucial in several fields, but relies on a large number of labeled samples. Due to the high cost of manual annotation and the scarcity of samples ...
IEEE

Analysis of Epithelial Ovarian Cancer Subtypes Classification on Histopathological Images Using Deep Learning Techniques

Abstract: Epithelial ovarian cancer is an aggressive form of gynecologic malignancy that significantly contributes to morbidity and mortality rates among women globally. Effective diagnosis and ...