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1904.00760
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Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
20 March 2019
Wieland Brendel
Matthias Bethge
SSL
FAtt
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Papers citing
"Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet"
50 / 312 papers shown
Title
PanNuke Dataset Extension, Insights and Baselines
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S. Graham
Mostafa Jahanifar
S. Khurram
A. Azam
K. Hewitt
Nasir M. Rajpoot
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24 Mar 2020
Overinterpretation reveals image classification model pathologies
Brandon Carter
Siddhartha Jain
Jonas W. Mueller
David K Gifford
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19 Mar 2020
FragNet: Writer Identification using Deep Fragment Networks
Sheng He
Lambert Schomaker
108
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16 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
341
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16 Mar 2020
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
63
46
0
11 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
81
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09 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
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0
01 Mar 2020
Exploring and Distilling Cross-Modal Information for Image Captioning
Fenglin Liu
Xuancheng Ren
Yuanxin Liu
Kai Lei
Xu Sun
ViT
82
52
0
28 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
116
118
0
27 Feb 2020
Searching for Winograd-aware Quantized Networks
Javier Fernandez-Marques
P. Whatmough
Andrew Mundy
Matthew Mattina
MQ
76
40
0
25 Feb 2020
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks
Matthew J. Roos
AAML
16
2
0
24 Feb 2020
Conceptual Game Expansion
Matthew J. Guzdial
Mark O. Riedl
69
13
0
22 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
Taro Kiritani
Koji Ono
AAML
36
3
0
13 Feb 2020
Adversarial Data Encryption
Yingdong Hu
Liang Zhang
W. Shan
Xiaoxiao Qin
Jinghuai Qi
Zhenzhou Wu
Yang Yuan
FedML
MedIm
34
0
0
10 Feb 2020
Analyzing the Dependency of ConvNets on Spatial Information
Yue Fan
Yongqin Xian
M. Losch
Bernt Schiele
18
4
0
05 Feb 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task
Chuanguang Yang
Zhulin An
Xiaolong Hu
Hui Zhu
Yongjun Xu
19
0
0
31 Jan 2020
Image Enhanced Rotation Prediction for Self-Supervised Learning
Shin'ya Yamaguchi
Sekitoshi Kanai
Tetsuya Shioda
Shoichiro Takeda
49
12
0
25 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
Alex Lamb
Sherjil Ozair
Vikas Verma
David R Ha
AAML
137
4
0
25 Dec 2019
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
74
56
0
20 Dec 2019
Bipartite Conditional Random Fields for Panoptic Segmentation
Sadeep Jayasumana
Kanchana Ranasinghe
Mayuka Jayawardhana
S. Liyanaarachchi
Harsha Ranasinghe
ISeg
26
6
0
11 Dec 2019
Exploring Unlabeled Faces for Novel Attribute Discovery
Hyojin Bahng
Sunghyo Chung
Seungjoo Yoo
Jaegul Choo
CVBM
107
12
0
06 Dec 2019
Universal Adversarial Robustness of Texture and Shape-Biased Models
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Ben Glocker
Emil C. Lupu
59
16
0
23 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann
Ting Chen
Simon Kornblith
CVBM
78
21
0
20 Nov 2019
Putting visual object recognition in context
Mengmi Zhang
Claire Tseng
Gabriel Kreiman
94
53
0
17 Nov 2019
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
Michele Alberti
A. Botros
Narayan Schütz
Rolf Ingold
Marcus Liwicki
Mathias Seuret
MedIm
26
2
0
12 Nov 2019
Learning From Brains How to Regularize Machines
Zhe Li
Wieland Brendel
Edgar Y. Walker
Erick Cobos
Taliah Muhammad
Jacob Reimer
Matthias Bethge
Fabian H. Sinz
Xaq Pitkow
A. Tolias
OOD
AAML
69
63
0
11 Nov 2019
Increasing Robustness to Spurious Correlations using Forgettable Examples
Yadollah Yaghoobzadeh
Soroush Mehri
Remi Tachet
Timothy J. Hazen
Alessandro Sordoni
OOD
63
18
0
10 Nov 2019
4-Connected Shift Residual Networks
Andrew Brown
Pascal Mettes
Marcel Worring
3DPC
55
9
0
22 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance
Sam Ringer
Will Williams
T. Ash
R. Francis
D. Macleod
SSL
51
12
0
18 Oct 2019
KerCNNs: biologically inspired lateral connections for classification of corrupted images
Noemi Montobbio
L. Bonnasse-Gahot
G. Citti
A. Sarti
76
10
0
18 Oct 2019
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
410
283
0
07 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
Souvik Kundu
Saurav Prakash
H. Akrami
Peter A. Beerel
K. Chugg
92
12
0
02 Oct 2019
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang
Hao-Tong Ye
Yun-Nung Chen
ELM
67
8
0
24 Sep 2019
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
Nader Asadi
Amir M. Sarfi
M. Hosseinzadeh
Zahra Karimpour
M. Eftekhari
OOD
SSL
65
25
0
18 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene classification
Khaled Koutini
Hamid Eghbalzadeh
Gerhard Widmer
119
30
0
05 Sep 2019
Texture Underfitting for Domain Adaptation
Jan-Nico Zaech
Dengxin Dai
Martin Hahner
Luc Van Gool
SSeg
OOD
51
6
0
29 Aug 2019
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Xi Shen
Ilaria Pastrolin
Oumayma Bounou
Spyros Gidaris
Marc Smith
Olivier Poncet
Mathieu Aubry
31
16
0
27 Aug 2019
Multiple instance dense connected convolution neural network for aerial image scene classification
Qi Bi
K. Qin
Zhili Li
Han Zhang
Kai Xu
99
114
0
22 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
VLM
94
73
0
20 Aug 2019
Investigating Convolutional Neural Networks using Spatial Orderness
Rohan Ghosh
A. Gupta
Mehul Motani
34
4
0
18 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images
Nick Pawlowski
Suvrat Bhooshan
Nicolas Ballas
F. Ciompi
Ben Glocker
M. Drozdzal
86
23
0
16 Aug 2019
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods
Françis Brochu
GAN
41
11
0
30 Jul 2019
Is Texture Predictive for Age and Sex in Brain MRI?
Nick Pawlowski
Ben Glocker
3DH
MedIm
47
9
0
25 Jul 2019
Predicting Visual Memory Schemas with Variational Autoencoders
C. Kyle-Davidson
A. Bors
K. Evans
DRL
57
7
0
19 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
62
79
0
19 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models
Emin Orhan
VLM
100
31
0
17 Jul 2019
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
307
1,487
0
16 Jul 2019
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
278
2,251
0
05 Jul 2019
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
91
14
0
24 Jun 2019
Improving the robustness of ImageNet classifiers using elements of human visual cognition
A. Orhan
Brenden M. Lake
VLM
60
5
0
20 Jun 2019
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