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Self-Supervised Pre-training of Vision Transformers for Dense Prediction
  Tasks

Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks

30 May 2022
Jaonary Rabarisoa
Velentin Belissen
Florian Chabot
Q. C. Pham
    VLM
    ViT
    SSL
    MDE
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Papers citing "Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks"

5 / 5 papers shown
Title
Image Segmentation-based Unsupervised Multiple Objects Discovery
Image Segmentation-based Unsupervised Multiple Objects Discovery
Sandra Kara
Hejer Ammar
Florian Chabot
Q. C. Pham
OCL
24
6
0
20 Dec 2022
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
5,785
0
29 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
181
687
0
22 Apr 2021
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
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1