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

Region-Relation Enhanced GNN-CNN for Image Classification

Abstract: Convolutional Neural Networks (CNNs) excel in local feature extraction but struggle to model regional semantic correlations and global context. This paper proposes a GNNintegrated framework ...
IEEE

Rice Leaf Diseases Classification Using CNN with Transfer Learning

Abstract: In the field of agriculture, plant diseases pose a serious threat to achieving optimal yields and food security; thus, identifying and classifying rice leaf diseases correctly are key points ...
IEEE

Deep Learning-Driven Image Classification of Jellyfish: A CNN Model Approach

Abstract: Rising in importance as an environmental problem, jellyfish blooms impair aquaculture infrastructure, upset marine ecosystems, and reveal human health risks. Good early reaction and ...
IEEE

Multi-Level Deep CNN for Glaucoma Detection and Classification

Abstract: Glaucoma is a neurological condition that causes progressive damage to the optic nerve. The major goal of this study is to develop automatic ocular image analysis based on deep learning to ...
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 ...