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1706.06969
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Comparing deep neural networks against humans: object recognition when the signal gets weaker
21 June 2017
Robert Geirhos
David H. J. Janssen
Heiko H. Schutt
Jonas Rauber
Matthias Bethge
Felix Wichmann
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Papers citing
"Comparing deep neural networks against humans: object recognition when the signal gets weaker"
29 / 29 papers shown
Title
Bayesian Comparisons Between Representations
Heiko H. Schütt
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283
0
0
20 Feb 2025
Noise robust neural network architecture
Yunuo Xiong
Hongwei Xiong
27
1
0
16 May 2023
ExpNet: A unified network for Expert-Level Classification
Junde Wu
Huihui Fang
Yehui Yang
Yu Zhang
Haoyi Xiong
Huazhu Fu
Yanwu Xu
35
0
0
29 Nov 2022
Virtual Underwater Datasets for Autonomous Inspections
Ioannis Polymenis
M. Haroutunian
R. Norman
D. Trodden
19
7
0
13 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
29
38
0
18 Aug 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
Wei Dai
Daniel Berleant
VLM
AAML
27
8
0
02 Mar 2022
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
J. Pulsipher
Luke D. J. Coutinho
Tyler A. Soderstrom
Victor M. Zavala
HAI
12
7
0
03 Feb 2022
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
30
0
0
18 Nov 2021
Deep Neural Models for color discrimination and color constancy
Alban Flachot
A. Akbarinia
Heiko H. Schutt
R. Fleming
Felix Wichmann
K. Gegenfurtner
19
2
0
28 Dec 2020
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
Learning Loss for Test-Time Augmentation
Ildoo Kim
Younghoon Kim
Sungwoong Kim
OOD
26
91
0
22 Oct 2020
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
27
3
0
13 Jul 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos
Kristof Meding
Felix Wichmann
19
117
0
30 Jun 2020
A fully recurrent feature extraction for single channel speech enhancement
M. Shifas
Santelli Claudio
Vassilis Tsiaras
Y. Stylianou
11
2
0
09 Jun 2020
Deep Neural Network Based Real-time Kiwi Fruit Flower Detection in an Orchard Environment
Jongyoon Lim
H. Ahn
Mahla Nejati
Jamie Bell
Henry Williams
B. MacDonald
14
18
0
08 Jun 2020
A Deeper Look at the Unsupervised Learning of Disentangled Representations in
β
β
β
-VAE from the Perspective of Core Object Recognition
Harshvardhan Digvijay Sikka
OCL
OOD
BDL
DRL
27
1
0
25 Apr 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic
Damian Campo
Mohamad Baydoun
P. Marín
David Martín
L. Marcenaro
C. Regazzoni
DRL
27
13
0
17 Mar 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
35
424
0
20 Jan 2020
Defective Convolutional Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Di He
Liwei Wang
AAML
35
3
0
19 Nov 2019
Metamorphic Testing of a Deep Learning based Forecaster
Anurag Dwarakanath
Manish Ahuja
Sanjay Podder
Silja Vinu
Arijit Naskar
M. Koushik
AI4TS
16
9
0
13 Jul 2019
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
39
132
0
15 May 2019
Assessment of Faster R-CNN in Man-Machine collaborative search
Arturo Deza
A. Surana
Miguel P. Eckstein
OOD
26
7
0
04 Apr 2019
Distinguishing mirror from glass: A 'big data' approach to material perception
Hideki Tamura
Konrad E. Prokott
R. Fleming
OOD
AAML
24
9
0
05 Mar 2019
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
Been Kim
Emily Reif
Martin Wattenberg
Samy Bengio
Michael C. Mozer
39
30
0
04 Mar 2019
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley
Junkyung Kim
D. Berson
Thomas Serre
3DV
35
17
0
28 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans
T. Ho-Phuoc
11
41
0
18 Nov 2018
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
Taehyeong Kim
Min-Oh Heo
Seonil Son
Kyoung-Wha Park
Byoung-Tak Zhang
31
75
0
28 May 2018
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Stefan Depeweg
Constantin Rothkopf
Frank Jakel
LRM
22
42
0
12 Apr 2018
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition
Brandon RichardWebster
Samuel E. Anthony
Walter J. Scheirer
21
72
0
19 Nov 2016
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