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Analyzing Local Representations of Self-supervised Vision Transformers
31 December 2023
Ani Vanyan
Alvard Barseghyan
Hakob Tamazyan
Vahan Huroyan
Hrant Khachatrian
Martin Danelljan
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Papers citing
"Analyzing Local Representations of Self-supervised Vision Transformers"
5 / 5 papers shown
Title
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
71
76
1
01 May 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
121
169
0
30 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
314
7,457
0
11 Nov 2021
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
265
621
0
21 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
362
5,811
0
29 Apr 2021
1