A simple data mixing prior for improving self-supervised learning

A simple data mixing prior for improving self-supervised learning

Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component for advancing recognition models. In this paper, we focus on studying its effectiveness in the self-supervised setting. By noticing the mixed images that share the same source images are intrinsically related to each other, we he...

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Bibliographic Details
Main Authors: REN, Sucheng, WANG, Huiyu, GAO, Zhengqi, HE, Shengfeng, YUILLE, Alan, ZHOU, Yuyin, XIE, Cihang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Categorization
Representation learning
Retrieval
Self- & semi- & meta- recognition
Detection
Databases and Information Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/8445
https://ink.library.smu.edu.sg/context/sis_research/article/9448/viewcontent/Ren_A_Simple_Data_Mixing_Prior_for_Improving_Self_Supervised_Learning_CVPR_2022_paper.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8445
https://ink.library.smu.edu.sg/context/sis_research/article/9448/viewcontent/Ren_A_Simple_Data_Mixing_Prior_for_Improving_Self_Supervised_Learning_CVPR_2022_paper.pdf

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