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Demystify Self-Attention in Vision Transformers from a Semantic
  Perspective: Analysis and Application

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application

13 November 2022
Leijie Wu
Song Guo
Yaohong Ding
Junxiao Wang
Wenchao Xu
Richard Yi Da Xu
Jiewei Zhang
ArXivPDFHTML

Papers citing "Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application"

5 / 5 papers shown
Title
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
Minjae Chung
Jong Bum Won
Ganghyun Kim
Yujin Kim
Utku Ozbulak
MedIm
54
0
0
12 Mar 2025
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
251
618
0
21 May 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
406
2,576
0
03 Sep 2019
1