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