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Understanding the Effect of using Semantically Meaningful Tokens for
  Visual Representation Learning

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning

26 May 2024
N. Kalibhat
Priyatham Kattakinda
Arman Zarei
Nikita Seleznev
Sam Sharpe
Senthil Kumar
S. Feizi
    ViT
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Papers citing "Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning"

2 / 2 papers shown
Title
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
243
1,817
0
18 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1