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Transfer Learning for Segmentation Problems: Choose the Right Encoder
  and Skip the Decoder

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder

29 July 2022
Jonas Dippel
Matthias Lenga
Thomas Goerttler
Klaus Obermayer
Johannes Höhne
    SSL
ArXivPDFHTML

Papers citing "Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder"

3 / 3 papers shown
Title
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
305
7,434
0
11 Nov 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSL
CLL
61
85
0
09 Sep 2021
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
244
114
0
20 Oct 2020
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