Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning

Self-supervised learning has emerged as an increasingly popular research topic within the field of computer vision. In this study, we propose a novel self-supervised learning approach based on Mixup features as pretext tasks. The proposed method aims to learn visual representations by predicting the...

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Bibliographic Details
Main Authors: Jiashu Xu, Sergii Stirenko
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10207028/