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...

Celý popis

Podrobná bibliografia

Vydané v:	Applied sciences Ročník 15; číslo 11; s. 6286
Hlavní autori:	Gajda, Jakub, Kwiecień, Joanna
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!