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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Bibliografske podrobnosti
Main Authors: Jiashu Xu, Sergii Stirenko
Format: Article
Jezik:English
Izdano: IEEE 2023-01-01
Serija:IEEE Access
Teme:
Online dostop:https://ieeexplore.ieee.org/document/10207028/