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25 years of CNNs: Can we compare to human abstraction capabilities?

25 years of CNNs: Can we compare to human abstraction capabilities?

28 July 2016
Sebastian Stabinger
A. Rodríguez-Sánchez
J. Piater
ArXiv (abs)PDFHTML

Papers citing "25 years of CNNs: Can we compare to human abstraction capabilities?"

25 / 25 papers shown
Title
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Max Gupta
Sunayana Rane
R. Thomas McCoy
Thomas L. Griffiths
DRLSSLOOD
857
0
0
29 Mar 2025
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Alexa R. Tartaglini
Sheridan Feucht
Michael A. Lepori
Wai Keen Vong
Charles Lovering
Brenden M. Lake
Ellie Pavlick
OODViT
165
4
0
14 Oct 2023
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models
Abutting Grating Illusion: Cognitive Challenge to Neural Network ModelsSocial Science Research Network (SSRN), 2022
Jinyu Fan
Yi Zeng
AAML
104
1
0
08 Aug 2022
GAMR: A Guided Attention Model for (visual) Reasoning
GAMR: A Guided Attention Model for (visual) ReasoningInternational Conference on Learning Representations (ICLR), 2022
Mohit Vaishnav
Thomas Serre
LRM
204
16
0
10 Jun 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning
A Review of Emerging Research Directions in Abstract Visual ReasoningInformation Fusion (Inf. Fusion), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
195
45
0
21 Feb 2022
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Recurrent Vision Transformer for Solving Visual Reasoning ProblemsInternational Conference on Image Analysis and Processing (ICIAP), 2021
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
ViTLRM
103
11
0
29 Nov 2021
Using Program Synthesis and Inductive Logic Programming to solve Bongard
  Problems
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
Atharv Sonwane
Sharad Chitlangia
T. Dash
Lovekesh Vig
Gautam M. Shroff
Harshvardhan Mestha
94
6
0
19 Oct 2021
Understanding the computational demands underlying visual reasoning
Understanding the computational demands underlying visual reasoningNeural Computation (Neural Comput.), 2021
Mohit Vaishnav
Rémi Cadène
A. Alamia
Drew Linsley
Rufin VanRullen
Thomas Serre
GNNCoGe
223
17
0
08 Aug 2021
Arguments for the Unsuitability of Convolutional Neural Networks for
  Non--Local Tasks
Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local TasksNeural Networks (NN), 2021
Sebastian Stabinger
David Peer
A. Rodríguez-Sánchez
74
10
0
23 Feb 2021
Solving the Same-Different Task with Convolutional Neural Networks
Solving the Same-Different Task with Convolutional Neural NetworksPattern Recognition Letters (PR), 2021
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
AIMatOODSSLUQCV
151
18
0
22 Jan 2021
Seeing eye-to-eye? A comparison of object recognition performance in
  humans and deep convolutional neural networks under image manipulation
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation
Leonard E. van Dyck
W. Gruber
147
4
0
13 Jul 2020
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and
  Evaluations
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
Iuliia Kotseruba
C. Wloka
Amir Rasouli
John K. Tsotsos
143
22
0
13 May 2020
Five Points to Check when Comparing Visual Perception in Humans and
  Machines
Five Points to Check when Comparing Visual Perception in Humans and Machines
Christina M. Funke
Judy Borowski
Karolina Stosio
Wieland Brendel
Thomas S. A. Wallis
Matthias Bethge
144
34
0
20 Apr 2020
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Evaluating the Progress of Deep Learning for Visual Relational ConceptsJournal of Vision (J Vis), 2020
Sebastian Stabinger
Peer David
J. Piater
A. Rodríguez-Sánchez
236
20
0
29 Jan 2020
Program synthesis performance constrained by non-linear spatial
  relations in Synthetic Visual Reasoning Test
Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
Lu Yihe
S. Lowe
P. Lewis
M. C. W. Rossum
NAI
121
5
0
18 Nov 2019
Toward automatic comparison of visualization techniques: Application to
  graph visualization
Toward automatic comparison of visualization techniques: Application to graph visualizationVisual Informatics (VI), 2019
L. Giovannangeli
Romain Bourqui
R. Giot
D. Auber
GNN
216
26
0
21 Oct 2019
Few-Shot Abstract Visual Reasoning With Spectral Features
Few-Shot Abstract Visual Reasoning With Spectral Features
Tanner A. Bohn
Yining Hu
Charles X. Ling
VLM
87
3
0
04 Oct 2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive
  Matrices
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive MatricesAAAI Conference on Artificial Intelligence (AAAI), 2019
Damien Teney
Peng Wang
Jiewei Cao
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
121
35
0
29 Jul 2019
Recognizing Manipulation Actions from State-Transformations
Recognizing Manipulation Actions from State-TransformationsComputer Vision and Pattern Recognition (CVPR), 2019
N. A. Bakr
James L. Crowley
Rémi Ronfard
79
14
0
12 Jun 2019
Evaluating CNNs on the Gestalt Principle of Closure
Evaluating CNNs on the Gestalt Principle of Closure
Gregor Ehrensperger
Sebastian Stabinger
A. Rodríguez-Sánchez
71
7
0
30 Mar 2019
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
276
168
0
16 Jun 2018
Same-different problems strain convolutional neural networks
Same-different problems strain convolutional neural networks
Matthew Ricci
Junkyung Kim
Thomas Serre
OOD
237
17
0
09 Feb 2018
Can the early human visual system compete with Deep Neural Networks?
Can the early human visual system compete with Deep Neural Networks?
Samuel F. Dodge
Lina Karam
142
16
0
12 Oct 2017
Evaluation of Deep Learning on an Abstract Image Classification Dataset
Evaluation of Deep Learning on an Abstract Image Classification Dataset
Sebastian Stabinger
A. Rodríguez-Sánchez
3DHSSeg
87
11
0
25 Aug 2017
A Study and Comparison of Human and Deep Learning Recognition
  Performance Under Visual Distortions
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
Samuel F. Dodge
Lina Karam
3DH
166
441
0
06 May 2017
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