Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets

Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets

Deep learning methods, used in machine vision challenges, often face the problem of the amount and quality of data. To address this issue, we investigate the transfer learning method. In this study, we briefly describe the idea and introduce two main strategies of transfer learning. We also present...

Full description

Bibliographic Details
Main Authors: Brodzicki Andrzej, Piekarski Michal, Kucharski Dariusz, Jaworek-Korjakowska Joanna, Gorgon Marek
Format: Article
Language:English
Published: Sciendo 2020-09-01
Series:Foundations of Computing and Decision Sciences
Subjects:
deep neural networks
transfer learning
signal processing
image analysis
anomaly detection
Online Access:https://doi.org/10.2478/fcds-2020-0010

Similar Items

Similar Items