Contrastive Learning for Regression on Hyperspectral Data

arXiv:2403.17014v1 Announce Type: cross
Abstract: Contrastive learning has demonstrated great effectiveness in representation learning especially for image classification tasks. However, there is still a shortage in the studies targeting regression tasks, and more specifically applications on hyperspectral data. In this paper, we propose a contrastive learning framework for the regression tasks for hyperspectral data. To this end, we provide a collection of transformations relevant for augmenting hyperspectral data, and investigate contrastive learning for regression. Experiments on synthetic and real hyperspectral …

abstract applications arxiv classification cs.cv cs.lg data framework however image paper regression representation representation learning shortage studies targeting tasks type