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Exploring Data Augmentations on Self-/Semi-/Fully- Supervised
  Pre-trained Models

Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models

28 October 2023
Shentong Mo
Zhun Sun
Chao Li
ArXivPDFHTML

Papers citing "Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models"

3 / 3 papers shown
Title
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
317
5,775
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,828
0
18 Aug 2016
1