This project proposes an unsupervised learning framework named Neighbor-based Spectral-Spatial Mixed Contrastive Learning (N-SSMCL), designed for hyperspectral image classification.The method ...

Visual Contrastive Learning for Few-shot Image Classification This repository provides the code to classify images in two different categories, i.e. Similar (1) and Dissimilar (0) based on the image ...

Learning discriminative image representations plays a vital role in long-tailed image classification because it can ease the classifier learning in imbalanced cases. Given the promising performance ...

Although hyperspectral image (HSI) classification has made great progress, most classification methods assume that the training and test data have the same class, and that there are no classes in the ...

Keywords: underwater fish image classification, contrastive learning, deep learning, self-supervised visual representation learning, background noise. Citation: Yan Q, Du X, Li C and Tian X (2024) ...

“Contrastive learning with continuous proxy meta-data for 3D MRI classification,” in Medical Image Computing and Computer Assisted Intervention-MICCAI 2021: 24th International Conference, Strasbourg, ...

In contrast, object-based classification methods can include other pixels and therefore they also use spatial information to classify items. ... We’ll cover some of the most common kinds of machine ...