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

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
IEEE

Progressive Cluster-Guided Knowledge Distillation for Remote Sensing Image Scene Classification

Abstract: Knowledge distillation (KD) has recently demonstrated remarkable potential in developing lightweight convolutional neural networks for remote sensing image (RSI) scene classification tasks.
IEEE

SwinCNN+OE: A Swin Transformer and CNN Architecture for Breast Histopathology Classification with OOD and Grad-CAM Integration

Abstract: This study aimed to design and evaluate a fusion deep learning architecture (SwinCNN + OE) for robust and interpretable breast cancer classification using histopathological images. The ...
IEEE

Application of Quantitative Interpretability to Evaluate CNN-Based Models for Medical Image Classification

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...
IEEE

Hybrid CNN-Transformer Models in Histopathology Image Analysis: A Scoping Review

Abstract: Hybrid convolutional neural networks (CNNs) and Transformer-based architectures have demonstrated strong potential in histopathological image analysis by combining local feature extraction ...
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 ...
IEEE

Privacy-Preserving CNN Inference for Image Super-Resolution Cross Multiple Ciphertexts

Abstract: Online image super-resolution (SR) services have been widely used in applications such as Remini and DeepAI. However, the exposure of plaintext images raises serious privacy concerns. While ...
IEEE

Self-Supervised Mamba for Hyperspectral Image Classification

Abstract: Recent advances in Mamba-based architectures have demonstrated promising potential for hyperspectral image classification (HSIC), offering linear-complexity long-range dependency modeling.
CNN

House Oversight Dems. Release More Images From Epstein Estate

Kasie Hunt talks to Rep. Suhas Subramanyam after Democrats on the House Oversight Committee release more images from the Epstein estate. The panel discusses what Indiana Republicans' rejection of ...
Fox News

CNN's Jake Tapper wrongly identifies DC pipe bomb suspect as 'White man'

CNN's Jake Tapper wrongly identifies DC pipe bomb suspect as 'White man' Fox News senior national correspondent Kevin Corke reports on the arrest of the alleged Jan. 6th pipe bomb suspect on ‘Jesse ...