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Recurrent computations for visual pattern completion

Recurrent computations for visual pattern completion

7 June 2017
Hanlin Tang
Martin Schrimpf
William Lotter
Charlotte Moerman
Ana Paredes
Josue Ortega Caro
Walter Hardesty
David D. Cox
Gabriel Kreiman
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Papers citing "Recurrent computations for visual pattern completion"

23 / 23 papers shown
Title
Understanding the Role of Pathways in a Deep Neural Network
Understanding the Role of Pathways in a Deep Neural Network
Lei Lyu
Chen Pang
Jihua Wang
35
3
0
28 Feb 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
Jan van Gemert
94
14
0
02 Feb 2024
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward
  Alignment
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment
Tahereh Toosi
Elias B. Issa
19
2
0
31 Oct 2023
Continuous Spatiotemporal Transformers
Continuous Spatiotemporal Transformers
Antonio H. O. Fonseca
E. Zappala
J. O. Caro
David van Dijk
26
7
0
31 Jan 2023
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
29
11
0
09 Nov 2022
Harmonizing the object recognition strategies of deep neural networks
  with humans
Harmonizing the object recognition strategies of deep neural networks with humans
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
36
71
0
08 Nov 2022
Brain-like combination of feedforward and recurrent network components
  achieves prototype extraction and robust pattern recognition
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Naresh B. Ravichandran
A. Lansner
Pawel Herman
29
4
0
30 Jun 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on
  Human Eye Movements
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements
Leonard E. van Dyck
Sebastian J. Denzler
W. Gruber
19
9
0
21 Jun 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition
  by humans and dynamic neural networks
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
27
1
0
16 Jun 2022
Hybrid Predictive Coding: Inferring, Fast and Slow
Hybrid Predictive Coding: Inferring, Fast and Slow
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
27
36
0
05 Apr 2022
A model of semantic completion in generative episodic memory
A model of semantic completion in generative episodic memory
Zahra Fayyaz
Aya Altamimi
Sen Cheng
Laurenz Wiskott
26
21
0
26 Nov 2021
Look Twice: A Generalist Computational Model Predicts Return Fixations
  across Tasks and Species
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
Mengmi Zhang
M. Armendáriz
Will Xiao
Olivia Rose
K. Bendtz
Margaret Livingstone
Carlos R. Ponce
Gabriel Kreiman
16
14
0
05 Jan 2021
Recurrent neural circuits for contour detection
Recurrent neural circuits for contour detection
Drew Linsley
Junkyung Kim
A. Ashok
Thomas Serre
18
45
0
29 Oct 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans
  by measuring error consistency
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos
Kristof Meding
Felix Wichmann
19
116
0
30 Jun 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
45
79
0
22 Jun 2020
Stable and expressive recurrent vision models
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
16
44
0
22 May 2020
Going in circles is the way forward: the role of recurrence in visual
  inference
Going in circles is the way forward: the role of recurrence in visual inference
R. S. V. Bergen
N. Kriegeskorte
17
81
0
26 Mar 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
35
423
0
20 Jan 2020
KerCNNs: biologically inspired lateral connections for classification of
  corrupted images
KerCNNs: biologically inspired lateral connections for classification of corrupted images
Noemi Montobbio
L. Bonnasse-Gahot
G. Citti
A. Sarti
16
10
0
18 Oct 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent
  ANNs
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
J. Kubilius
Martin Schrimpf
Kohitij Kar
Ha Hong
N. Majaj
...
Kailyn Schmidt
Aran Nayebi
Daniel M. Bear
Daniel L. K. Yamins
J. DiCarlo
35
256
0
13 Sep 2019
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
26
54
0
04 Jun 2019
Robustness of Object Recognition under Extreme Occlusion in Humans and
  Computational Models
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models
Hongru Zhu
Peng Tang
Jeongho Park
Soojin Park
Alan Yuille
18
49
0
11 May 2019
Robust neural circuit reconstruction from serial electron microscopy
  with convolutional recurrent networks
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley
Junkyung Kim
D. Berson
Thomas Serre
3DV
30
17
0
28 Nov 2018
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