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Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

20 March 2019
Wieland Brendel
Matthias Bethge
    SSLFAtt
ArXiv (abs)PDFHTML

Papers citing "Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet"

50 / 312 papers shown
Title
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
Nikolay Dagaev
Brett D. Roads
Xiaoliang Luo
Daniel N. Barry
Kaustubh R. Patil
Bradley C. Love
74
9
0
12 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
J. H. Metzen
Maksym Yatsura
AAML
61
41
0
08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized
  Patch Hiding Attacks
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
Chong Xiang
Prateek Mittal
AAML
113
53
0
05 Feb 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial
  Neural Networks when Learning Embodied and Self-Supervised
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Viviane Clay
Peter König
G. Pipa
Kai-Uwe Kühnberger
60
1
0
03 Feb 2021
Position, Padding and Predictions: A Deeper Look at Position Information
  in CNNs
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
56
58
0
28 Jan 2021
Shape or Texture: Understanding Discriminative Features in CNNs
Shape or Texture: Understanding Discriminative Features in CNNs
Md. Amirul Islam
M. Kowal
Patrick Esser
Sen Jia
Bjorn Ommer
Konstantinos G. Derpanis
Neil D. B. Bruce
93
77
0
27 Jan 2021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels
  Methods
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
L. Thiry
Michael Arbel
Eugene Belilovsky
Edouard Oyallon
AAML
71
14
0
19 Jan 2021
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task
  Learning in Ride-hailing System
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System
M. Rahman
S. Rifaat
S. N. Sadeek
M. Abrar
D. Wang
81
6
0
31 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?
Thang M. Pham
Trung Bui
Long Mai
Anh Totti Nguyen
292
123
0
30 Dec 2020
Using Spatio-temporal Deep Learning for Forecasting Demand and
  Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency
  Information
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information
Md. Hishamur Rahman
S. Rifaat
73
10
0
16 Dec 2020
Assessing The Importance Of Colours For CNNs In Object Recognition
Assessing The Importance Of Colours For CNNs In Object Recognition
Aditya Singh
Alessandro Bay
Andrea Mirabile
30
10
0
12 Dec 2020
Cyclic orthogonal convolutions for long-range integration of features
Cyclic orthogonal convolutions for long-range integration of features
Federica Freddi
Jezabel R. Garcia
Michael Bromberg
Sepehr Jalali
Da-shan Shiu
Alvin Chua
A. Bernacchia
47
0
0
11 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
97
90
0
09 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
316
267
0
09 Dec 2020
MakeupBag: Disentangling Makeup Extraction and Application
MakeupBag: Disentangling Makeup Extraction and Application
Dokhyam Hoshen
56
1
0
03 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta
Ron van Bree
C. Seifert
201
271
0
03 Dec 2020
Every Model Learned by Gradient Descent Is Approximately a Kernel
  Machine
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine
Pedro M. Domingos
MLT
98
73
0
30 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification
  and Similarity Discovery
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
75
116
0
29 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
160
269
0
18 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
Intentonomy: a Dataset and Study towards Human Intent Understanding
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
51
29
0
11 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
79
62
0
07 Nov 2020
Towards Disentangling Latent Space for Unsupervised Semantic Face
  Editing
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing
Kanglin Liu
Gaofeng Cao
Fei Zhou
Bozhi Liu
Jiang Duan
Guoping Qiu
CVBM
51
21
0
05 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
117
11
0
03 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution
  Prediction
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang-Shu Liu
Xinwei Sun
Jindong Wang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CMLOODDOOD
153
107
0
03 Nov 2020
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OODSSLDRL
142
48
0
16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline
  Generalizers
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran
Behnam Neyshabur
Hanie Sedghi
OffRL
97
11
0
16 Oct 2020
On the Minimal Recognizable Image Patch
On the Minimal Recognizable Image Patch
Mark Fonaryov
M. Lindenbaum
20
1
0
12 Oct 2020
Large Scale Indexing of Generic Medical Image Data using Unbiased
  Shallow Keypoints and Deep CNN Features
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
L. Chauvin
M. B. Lazreg
J. Carluer
W. Wells
Matthew Toews
27
0
0
08 Oct 2020
Contextual Semantic Interpretability
Contextual Semantic Interpretability
Diego Marcos
Ruth C. Fong
Sylvain Lobry
Rémi Flamary
Nicolas Courty
D. Tuia
SSL
122
28
0
18 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable
  Sleep Stage Identification from EEG Recordings
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings
Taeheon Lee
Jeonghwan Hwang
Honggu Lee
79
7
0
10 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural
  Networks
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Nilaksh Das
Haekyu Park
Zijie J. Wang
Fred Hohman
Robert Firstman
Emily Rogers
Duen Horng Chau
AAML
60
27
0
05 Sep 2020
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles
  via Apparel Attributes
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
Rajdeep H. Banerjee
Abhinav Ravi
U. Dutta
41
5
0
26 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias
  Perspective
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi
Dinghuai Zhang
Qi Dai
Zhanxing Zhu
Yadong Mu
Jingdong Wang
OOD
72
112
0
10 Aug 2020
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling
  Approach
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach
Kai Fabi
Jonas Schneider
BDL
53
4
0
04 Aug 2020
Describing Textures using Natural Language
Describing Textures using Natural Language
Chenyun Wu
Mikayla Timm
Subhransu Maji
3DV
58
10
0
03 Aug 2020
Progressive Multi-stage Feature Mix for Person Re-Identification
Progressive Multi-stage Feature Mix for Person Re-Identification
Yan Zhang
Binyu He
Li Sun
34
0
0
17 Jul 2020
Graph Neural Networks for Scalable Radio Resource Management:
  Architecture Design and Theoretical Analysis
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
58
266
0
15 Jul 2020
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
63
3
0
13 Jul 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable
  Model for Object Recognition under Occlusion
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Adam Kortylewski
Qing Liu
Angtian Wang
Yihong Sun
Alan Yuille
79
78
0
28 Jun 2020
Teaching CNNs to mimic Human Visual Cognitive Process & regularise
  Texture-Shape bias
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias
Satyam Mohla
Anshul Nasery
Biplab Banerjee
26
3
0
25 Jun 2020
Hierarchically Compositional Tasks and Deep Convolutional Networks
Hierarchically Compositional Tasks and Deep Convolutional Networks
Arturo Deza
Q. Liao
Andrzej Banburski
T. Poggio
BDLOOD
70
2
0
24 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
58
2
0
21 Jun 2020
On sparse connectivity, adversarial robustness, and a novel model of the
  artificial neuron
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
Sergey Bochkanov
AAML
66
0
0
16 Jun 2020
The shape and simplicity biases of adversarially robust ImageNet-trained
  CNNs
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs
Peijie Chen
Chirag Agarwal
Anh Totti Nguyen
AAML
57
18
0
16 Jun 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
85
141
0
21 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via
  Small Receptive Fields and Masking
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Chong Xiang
A. Bhagoji
Vikash Sehwag
Prateek Mittal
AAML
75
29
0
17 May 2020
Mining self-similarity: Label super-resolution with epitomic
  representations
Mining self-similarity: Label super-resolution with epitomic representations
Nikolay Malkin
Anthony Ortiz
Caleb Robinson
Nebojsa Jojic
37
12
0
24 Apr 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
71
33
0
20 Apr 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
231
2,073
0
16 Apr 2020
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
Wenyu Han
Siyuan Xiang
Chenhui Liu
Ruoyu Wang
Chen Feng
55
18
0
31 Mar 2020
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