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Image Memorability Prediction with Vision Transformers

Image Memorability Prediction with Vision Transformers

20 January 2023
Thomas Hagen
T. Espeseth
    ViT
ArXiv (abs)PDFHTML

Papers citing "Image Memorability Prediction with Vision Transformers"

7 / 7 papers shown
Title
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Elham Bagheri
Yalda Mohsenzadeh
133
0
0
19 Oct 2024
Are Convolutional Neural Networks or Transformers more like human
  vision?
Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli
Ishita Dasgupta
Erin Grant
Thomas Griffiths
ViTFaML
59
185
0
15 May 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSegVLMCLIP
324
711
0
22 Apr 2021
Defining Image Memorability using the Visual Memory Schema
Defining Image Memorability using the Visual Memory Schema
Erdem Akagündüz
A. Bors
K. Evans
39
28
0
05 Mar 2019
Is Image Memorability Prediction Solved?
Is Image Memorability Prediction Solved?
Shay Perera
A. Tal
Lihi Zelnik-Manor
42
21
0
31 Jan 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
155
1,988
0
18 Sep 2018
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
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