Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images

Anomaly detection is a process in which outlier samples can be detected in a given dataset. The purpose of this study is to implement, test, and evaluate the possibility of using deep learning methods for outlier detection with the use of a fine-tuning approach. A Transformer Masked Autoencoder was...

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Bibliographic Details

Published in:	Applied sciences Vol. 15; no. 11; p. 6286
Main Authors:	Gajda, Jakub, Kwiecień, Joanna
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2025
Subjects:	Analysis anomaly detection autoencoders Classification Datasets Deep learning Diffusion models Electric transformers Machine learning Medical imaging equipment Neural networks satellite images transformer models
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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