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 ...
IEEE

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
Scientific Research Publishing

A Wavelet-Based Two-Stage Vision Transformer Model for Histological Subtypes Classification of Lung Cancers on CT Images ()

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...
GitHub

Efficient Binary Video Classification on a Local GPU-Enabled PC Using PyTorch

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...
GitHub

PyTorch LatinLetters Dimensionality Reduction

Example of classification with ~91% Acuracy: Data separation between training and validation datatasets are .85 to .15 with 15k of sample images stored as numpy arrays in csv file Made by using ...