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GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing
  Sparsity, Trained from Scratch on Small Datasets

GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets

7 April 2024
Dongjing Shan
guiqiang chen
    ViT
ArXivPDFHTML

Papers citing "GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets"

4 / 4 papers shown
Title
Investigating the Vision Transformer Model for Image Retrieval Tasks
Investigating the Vision Transformer Model for Image Retrieval Tasks
S. Gkelios
Y. Boutalis
S. Chatzichristofis
VLM
ViT
13
30
0
11 Jan 2021
Talking-Heads Attention
Talking-Heads Attention
Noam M. Shazeer
Zhenzhong Lan
Youlong Cheng
Nan Ding
L. Hou
84
79
0
05 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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
279
39,083
0
01 Sep 2014
1