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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
    SSL
    FAtt
ArXivPDFHTML

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

33 / 133 papers shown
Title
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
27
3
0
13 Jul 2020
Hierarchically Compositional Tasks and Deep Convolutional Networks
Hierarchically Compositional Tasks and Deep Convolutional Networks
Arturo Deza
Q. Liao
Andrzej Banburski
T. Poggio
BDL
OOD
33
2
0
24 Jun 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
12
138
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
30
29
0
17 May 2020
PanNuke Dataset Extension, Insights and Baselines
PanNuke Dataset Extension, Insights and Baselines
Jevgenij Gamper
Navid Alemi Koohbanani
Ksenija Benes
S. Graham
Mostafa Jahanifar
S. Khurram
A. Azam
K. Hewitt
Nasir M. Rajpoot
124
175
0
24 Mar 2020
FragNet: Writer Identification using Deep Fragment Networks
FragNet: Writer Identification using Deep Fragment Networks
Sheng He
Lambert Schomaker
19
72
0
16 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
213
233
0
16 Mar 2020
xCos: An Explainable Cosine Metric for Face Verification Task
xCos: An Explainable Cosine Metric for Face Verification Task
Yu-sheng Lin
Zhe-Yu Liu
Yu-An Chen
Yu-Siang Wang
Ya-Liang Chang
Winston H. Hsu
CVBM
33
46
0
11 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
27
70
0
09 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
27
66
0
01 Mar 2020
Exploring and Distilling Cross-Modal Information for Image Captioning
Exploring and Distilling Cross-Modal Information for Image Captioning
Fenglin Liu
Xuancheng Ren
Yuanxin Liu
Kai Lei
Xu Sun
ViT
37
51
0
28 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
28
117
0
27 Feb 2020
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
24
56
0
20 Dec 2019
Exploring Unlabeled Faces for Novel Attribute Discovery
Exploring Unlabeled Faces for Novel Attribute Discovery
Hyojin Bahng
Sunghyo Chung
Seungjoo Yoo
Jaegul Choo
CVBM
19
12
0
06 Dec 2019
4-Connected Shift Residual Networks
4-Connected Shift Residual Networks
Andrew Brown
Pascal Mettes
M. Worring
3DPC
31
8
0
22 Oct 2019
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
24
10
0
18 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
Souvik Kundu
Saurav Prakash
H. Akrami
P. Beerel
K. Chugg
36
12
0
02 Oct 2019
An Empirical Study of Content Understanding in Conversational Question
  Answering
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang
Hao-Tong Ye
Yun-Nung Chen
ELM
33
8
0
24 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene
  classification
Receptive-field-regularized CNN variants for acoustic scene classification
Khaled Koutini
Hamid Eghbalzadeh
Gerhard Widmer
27
29
0
05 Sep 2019
Multiple instance dense connected convolution neural network for aerial
  image scene classification
Multiple instance dense connected convolution neural network for aerial image scene classification
Qi Bi
K. Qin
Zhili Li
Han Zhang
Kai Xu
30
110
0
22 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
VLM
29
72
0
20 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images
Needles in Haystacks: On Classifying Tiny Objects in Large Images
Nick Pawlowski
Suvrat Bhooshan
Nicolas Ballas
F. Ciompi
Ben Glocker
M. Drozdzal
24
22
0
16 Aug 2019
Predicting Visual Memory Schemas with Variational Autoencoders
Predicting Visual Memory Schemas with Variational Autoencoders
C. Kyle-Davidson
A. Bors
K. Evans
DRL
25
7
0
19 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
27
79
0
19 Jul 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
98
1,428
0
16 Jul 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
75
2,161
0
05 Jul 2019
Mutual exclusivity as a challenge for deep neural networks
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
31
14
0
24 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian
  Augmentation
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo-Lopes
Dong Yin
Ben Poole
Justin Gilmer
E. D. Cubuk
AAML
33
204
0
06 Jun 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
28
158
0
23 May 2019
What Do Adversarially Robust Models Look At?
What Do Adversarially Robust Models Look At?
Takahiro Itazuri
Yoshihiro Fukuhara
Hirokatsu Kataoka
Shigeo Morishima
19
5
0
19 May 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
21
128
0
02 Apr 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion
  Prediction
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller
Vincent Aravantinos
F. Lay
Alois C. Knoll
27
220
0
19 Mar 2019
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
158
789
0
24 Nov 2014
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