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Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning

Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning

27 January 2023
P. Singh
Jacopo Cirrone
    SSL
ArXivPDFHTML

Papers citing "Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning"

4 / 4 papers shown
Title
Cross-Architecture Self-supervised Video Representation Learning
Cross-Architecture Self-supervised Video Representation Learning
Sheng Guo
Zihua Xiong
Yujie Zhong
Limin Wang
Xiaobo Guo
Bing Han
Weilin Huang
SSL
AI4TS
66
24
0
26 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,761
0
29 Apr 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
126
63
0
13 Jan 2021
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