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

DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient ...
IEEE

Research on classification algorithm based on deep learning vision inspection technology

Abstract: Visual Convolutional Multi-head Attention (VCMA), a groundbreaking architecture within the realm of deep learning, ingeniously fuses the strengths of Convolutional Neural Networks (CNN) and ...
IEEE

The Inverted Grayscale Images for Lightweight CNN Rotten-Fruits Classifications

Abstract: Access to healthy food plays a crucial role in ensuring national food security. One of the main challenges in healthy food production is maintaining the quality of fruits, which are ...
IEEE

Adaptive Improved GCNs and SAM Superpixels for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification with limited training samples is a challenging problem. According to recent results, effectively exploiting the spatial–spectral information of the ...
IEEE

Comparative Analysis of Machine Learning and Deep Learning Models for Land Use Classification: On UC Merced Dataset

Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
IEEE

Research on Image Classification Algorithm Based on Improved Convolutional Neural Network

Abstract: In this paper, an improved convolutional neural network (CNN) model is proposed to solve the problems of traditional CNNS in processing some complex image classification tasks. By ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...