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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"

50 / 133 papers shown
Title
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
16
90
0
03 Apr 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
27
40
0
20 Mar 2022
Towards Practical Certifiable Patch Defense with Vision Transformer
Towards Practical Certifiable Patch Defense with Vision Transformer
Zhaoyu Chen
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
ViT
35
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
49
529
0
13 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
MedIm
ViT
30
13
0
08 Mar 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
42
27
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
27
0
0
19 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
36
63
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
66
114
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
43
22
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
29
8
0
02 Dec 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
34
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
41
53
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
39
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
45
6
0
08 Nov 2021
Natural Adversarial Objects
Natural Adversarial Objects
Felix Lau
Nishant Subramani
Sasha Harrison
Aerin Kim
E. Branson
Rosanne Liu
24
7
0
07 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting
  Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi
Deokki Hong
Noseong Park
Youngsok Kim
Jinho Lee
MQ
24
64
0
04 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
24
71
0
27 Oct 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi
Yong Zhang
28
7
0
20 Oct 2021
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
A. Madry
69
14
0
15 Oct 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
25
14
0
13 Sep 2021
Learning cortical representations through perturbed and adversarial
  dreaming
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
GAN
CLL
58
21
0
09 Sep 2021
Capturing the objects of vision with neural networks
Capturing the objects of vision with neural networks
B. Peters
N. Kriegeskorte
OCL
33
56
0
07 Sep 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
36
185
0
22 Aug 2021
Causal Attention for Unbiased Visual Recognition
Causal Attention for Unbiased Visual Recognition
Tan Wang
Chan Zhou
Qianru Sun
Hanwang Zhang
OOD
CML
34
109
0
19 Aug 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical
  Implications
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
Joshua Bowren
FAtt
32
1
0
14 Aug 2021
Towards robust vision by multi-task learning on monkey visual cortex
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani
Arne F. Nix
K. Willeke
Santiago A. Cadena
Kelli Restivo
George H. Denfield
A. Tolias
Fabian H. Sinz
OOD
19
52
0
29 Jul 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for
  Noise-Robust Image Classification
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li
Linlin Shen
Sheng Guo
Zhihui Lai
OOD
23
84
0
28 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
19
149
0
03 Jul 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLM
AAML
48
221
0
14 Jun 2021
CAT: Cross Attention in Vision Transformer
CAT: Cross Attention in Vision Transformer
Hezheng Lin
Xingyi Cheng
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Qing Song
Wei Yuan
ViT
35
149
0
10 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
22
95
0
05 Jun 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
265
625
0
21 May 2021
This Looks Like That... Does it? Shortcomings of Latent Space Prototype
  Interpretability in Deep Networks
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
Adrian Hoffmann
Claudio Fanconi
Rahul Rade
Jonas Köhler
22
63
0
05 May 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
28
76
0
07 Apr 2021
DeepReDuce: ReLU Reduction for Fast Private Inference
DeepReDuce: ReLU Reduction for Fast Private Inference
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
47
90
0
02 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
319
1,525
0
27 Feb 2021
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
220
122
0
30 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
27
89
0
09 Dec 2020
MakeupBag: Disentangling Makeup Extraction and Application
MakeupBag: Disentangling Makeup Extraction and Application
Dokhyam Hoshen
21
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
83
262
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
29
71
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
19
111
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
52
258
0
18 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
26
61
0
07 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
39
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
CML
OODD
OOD
35
104
0
03 Nov 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
29
11
0
16 Oct 2020
Contextual Semantic Interpretability
Contextual Semantic Interpretability
Diego Marcos
Ruth C. Fong
Sylvain Lobry
Rémi Flamary
Nicolas Courty
D. Tuia
SSL
20
27
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
35
7
0
10 Sep 2020
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