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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 Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
78
2
0
18 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
102
4
0
17 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models
Jinyu Fan
Yi Zeng
AAML
61
1
0
08 Aug 2022
Overlooked factors in concept-based explanations: Dataset choice,
  concept learnability, and human capability
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability
V. V. Ramaswamy
Sunnie S. Y. Kim
Ruth C. Fong
Olga Russakovsky
FAtt
70
29
0
20 Jul 2022
Contributions of Shape, Texture, and Color in Visual Recognition
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge
Yao Xiao
Zhi-Qin John Xu
Xingyu Wang
Laurent Itti
3DH
62
27
0
19 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of
  Convolutional Neural Networks by Mutual Information
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information
Jiebao Zhang
Wenhua Qian
Ren-qi Nie
Jinde Cao
Dan Xu
GANAAML
72
0
0
12 Jul 2022
Learning Debiased Classifier with Biased Committee
Learning Debiased Classifier with Biased Committee
Nayeong Kim
Sehyun Hwang
SungSoo Ahn
Jaesik Park
Suha Kwak
CML
122
57
0
22 Jun 2022
Bag of Image Patch Embedding Behind the Success of Self-Supervised
  Learning
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
Yubei Chen
Adrien Bardes
Zengyi Li
Yann LeCun
SSLAIFin
128
7
0
17 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution
  Shift?
How Robust is Unsupervised Representation Learning to Distribution Shift?
Yuge Shi
Imant Daunhawer
Julia E. Vogt
Philip Torr
Amartya Sanyal
OOD
109
28
0
17 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLMAAML
82
20
0
16 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and
  Robustness through Shape-awareness
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness
Shruthi Gowda
Bahram Zonooz
Elahe Arani
66
5
0
12 Jun 2022
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPCMedIm
113
20
0
06 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical
  Self-Supervised Learning
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViTMedIm
135
432
0
06 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient
Mitigating Dataset Bias by Using Per-sample Gradient
Sumyeong Ahn
Seongyoon Kim
Se-Young Yun
105
22
0
31 May 2022
Revisiting the Importance of Amplifying Bias for Debiasing
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee
Jeonghoon Park
Daeyoung Kim
Juyoung Lee
Edward Choi
Jaegul Choo
118
23
0
29 May 2022
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for
  Multivariate Time Series
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
Anh-Duy Pham
Anastassia Kuestenmacher
P. Ploeger
AI4TS
109
5
0
25 May 2022
Deep Digging into the Generalization of Self-Supervised Monocular Depth
  Estimation
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
Ji-Hoon Bae
Sungho Moon
Sunghoon Im
MDE
97
92
0
23 May 2022
CNNs Avoid Curse of Dimensionality by Learning on Patches
CNNs Avoid Curse of Dimensionality by Learning on Patches
Vamshi C. Madala
S. Chandrasekaran
Jason Bunk
UQCV
92
6
0
22 May 2022
B-cos Networks: Alignment is All We Need for Interpretability
B-cos Networks: Alignment is All We Need for Interpretability
Moritz D Boehle
Mario Fritz
Bernt Schiele
112
87
0
20 May 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDLCML
135
28
0
16 May 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance
  Representation for Aerial Scene Classification
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
Qi Bi
Beichen Zhou
K. Qin
Qinghao Ye
Guisong Xia
89
40
0
06 May 2022
Cross-modal Representation Learning for Zero-shot Action Recognition
Cross-modal Representation Learning for Zero-shot Action Recognition
Chung-Ching Lin
Kevin Qinghong Lin
Linjie Li
Lijuan Wang
Zicheng Liu
ViT
62
29
0
03 May 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
74
2
0
29 Apr 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And
  Dataset
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt
M. Schuessler
Oana-Iuliana Popescu
Philipp Weiß
Tim Landgraf
FAtt
67
15
0
25 Apr 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG
  Images with Curriculum Learning
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
69
32
0
25 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
121
339
0
06 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
Wen Liu
ViT
108
94
0
03 Apr 2022
Cycle-Consistent Counterfactuals by Latent Transformations
Cycle-Consistent Counterfactuals by Latent Transformations
Saeed Khorram
Li Fuxin
BDL
63
32
0
28 Mar 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
97
42
0
20 Mar 2022
Location-Free Camouflage Generation Network
Location-Free Camouflage Generation Network
Yangyang Li
Wei Zhai
Yang Cao
Zhengjun Zha
37
6
0
18 Mar 2022
Towards Practical Certifiable Patch Defense with Vision Transformer
Towards Practical Certifiable Patch Defense with Vision Transformer
Zhaoyu Chen
Yue Liu
Jianghe Xu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAMLViT
95
66
0
16 Mar 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
Xinming Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian Sun
VLM
153
554
0
13 Mar 2022
3SD: Self-Supervised Saliency Detection With No Labels
3SD: Self-Supervised Saliency Detection With No Labels
R. Yasarla
Renliang Weng
Wongun Choi
Vishal M. Patel
Amir Sadeghian
68
5
0
09 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream
  Transformer yields state of the art Brain-Score for Area V4
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
William Berrios
Arturo Deza
MedImViT
84
13
0
08 Mar 2022
A Developmentally-Inspired Examination of Shape versus Texture Bias in
  Machines
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines
Alexa R. Tartaglini
Wai Keen Vong
Brenden M. Lake
64
14
0
16 Feb 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
117
28
0
28 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on
  Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
68
0
0
19 Jan 2022
Discrete and continuous representations and processing in deep learning:
  Looking forward
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
93
20
0
04 Jan 2022
Toward Explainable AI for Regression Models
Toward Explainable AI for Regression Models
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
97
66
0
21 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
161
119
0
06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes
  Assignment
Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
85
102
0
06 Dec 2021
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and
  Distribution-Aware Criterion
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion
Yuanyuan Yuan
Qi Pang
Shuai Wang
82
24
0
03 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
Yeonsung Jung
Hajin Shim
J. Yang
Eunho Yang
87
8
0
02 Dec 2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for
  Higher Computational Efficiency
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
Tianshu Xie
Xuan Cheng
Minghui Liu
Jiali Deng
Xiaomin Wang
Meilin Liu
SupR
42
1
0
02 Dec 2021
Semi-Supervised Music Tagging Transformer
Semi-Supervised Music Tagging Transformer
Minz Won
Keunwoo Choi
Xavier Serra
ViTMedIm
404
48
0
26 Nov 2021
Pruning Self-attentions into Convolutional Layers in Single Path
Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He
Jianfei Cai
Jing Liu
Zizheng Pan
Jing Zhang
Dacheng Tao
Bohan Zhuang
ViT
95
40
0
23 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
106
57
0
19 Nov 2021
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor
  Matching
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching
Jong Woo Nam
A. Rios
Bartlett W. Mel
60
0
0
16 Nov 2021
An Approach for Combining Multimodal Fusion and Neural Architecture
  Search Applied to Knowledge Tracing
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
Xinyi Ding
Tao Han
Yili Fang
Eric C. Larson
64
6
0
08 Nov 2021
Natural Adversarial Objects
Natural Adversarial Objects
Felix Lau
Nishant Subramani
Sasha Harrison
Aerin Kim
E. Branson
Rosanne Liu
100
7
0
07 Nov 2021
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