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Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images

Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images

22 December 2021
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
    SSL
ArXivPDFHTML

Papers citing "Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images"

6 / 6 papers shown
Title
Can semi-supervised learning use all the data effectively? A lower bound
  perspective
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru cTifrea
Gizem Yüce
Amartya Sanyal
Fanny Yang
34
3
0
30 Nov 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Meng Wei
Yong Zhou
Zhongnian Li
Xinzheng Xu
13
13
0
28 Sep 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
28
311
0
14 Apr 2022
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
25
52
0
16 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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