Few-shot contrastive learning for image classification and its application to insulator identification
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02769-6
Abstract: This paper presents a novel discriminative Few-shot learning architecture based on batch compact loss. Currently, Convolutional Neural Network (CNN) has achieved reasonably good performance in image recognition. Most existing CNN methods facilitate classifiers to learn… read more here.
Keywords: image; learning image; shot; image classification ... See more keywords
Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3227164
Abstract: Deep learning has achieved impressive results on hyperspectral image (HSI) classification, which generally requires sufficient training samples and a huge number of parameters. However, it is challenging to label HSIs, and likely only a few… read more here.
Keywords: cross domain; classification; hsi classification; shot contrastive ... See more keywords