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High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

28 May 2019
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
ArXivPDFHTML

Papers citing "High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks"

50 / 94 papers shown
Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei
Ke Ma
Yingfei Sun
Qianqian Xu
Qingming Huang
DiffM
45
0
0
02 May 2025
Purifying, Labeling, and Utilizing: A High-Quality Pipeline for Small Object Detection
Purifying, Labeling, and Utilizing: A High-Quality Pipeline for Small Object Detection
Siwei Wang
Zhiwei Chen
Liujuan Cao
Rongrong Ji
ObjD
69
0
0
29 Apr 2025
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution
Junfeng Fang
Fei Ge
Jinchen Zhu
Hao Fei
Qi Wu
Jifeng Ren Shizhuang Weng
43
0
0
26 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
Wenjie Wang
Caifeng Shan
Lei Wang
AAML
163
0
0
21 Apr 2025
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
Ziyu Lin
Yunfan Wu
Yuhang Ma
Junzhou Chen
Ronghui Zhang
Jiaming Wu
Guodong Yin
Liang Lin
55
0
0
18 Mar 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
59
2
0
17 Jan 2025
Learning from Convolution-based Unlearnable Datasets
Learning from Convolution-based Unlearnable Datasets
Dohyun Kim
Pedro Sandoval-Segura
MU
99
1
0
04 Nov 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of
  Spatial and Temporal Dynamics
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
L. Zheng
Zhengyang Li
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
38
1
0
16 Oct 2024
MacFormer: Semantic Segmentation with Fine Object Boundaries
MacFormer: Semantic Segmentation with Fine Object Boundaries
Guoan Xu
Wenfeng Huang
Tao Wu
Ligeng Chen
Wenjing Jia
Guangwei Gao
Xiatian Zhu
Stuart W. Perry
45
0
0
11 Aug 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
67
0
0
04 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Efficient Real-world Image Super-Resolution Via Adaptive Directional
  Gradient Convolution
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
Long Peng
Yang Cao
Renjing Pei
Wenbo Li
Jiaming Guo
Xueyang Fu
Yang Wang
Zheng-Jun Zha
43
12
0
11 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
41
1
0
06 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
39
0
0
16 Apr 2024
Generating Content for HDR Deghosting from Frequency View
Generating Content for HDR Deghosting from Frequency View
Tao Hu
Qingsen Yan
Yuankai Qi
Yanning Zhang
37
7
0
01 Apr 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
  Distillation
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DD
AAML
42
5
0
20 Mar 2024
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen
Lin Gu
Ying Fu
42
24
0
08 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois Knoll
Guang Chen
Changjun Jiang
45
12
0
06 Mar 2024
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion
  for Polyp Localization in Colonoscopy Images
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images
Ju-Hyeon Nam
Seo-Hyeong Park
Nur Suriza Syazwany
Yerim Jung
Yu-Han Im
Sang-Chul Lee
29
3
0
09 Oct 2023
FreeU: Free Lunch in Diffusion U-Net
FreeU: Free Lunch in Diffusion U-Net
Chenyang Si
Ziqi Huang
Yuming Jiang
Ziwei Liu
DiffM
54
132
0
20 Sep 2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Frequency Compensated Diffusion Model for Real-scene Dehazing
Jing Wang
Songtao Wu
Kuanhong Xu
Zhiqiang Yuan
DiffM
31
26
0
21 Aug 2023
Privacy-Preserving Face Recognition Using Random Frequency Components
Privacy-Preserving Face Recognition Using Random Frequency Components
Yuxi Mi
Yanhua Huang
Jia-Bao Ji
Minyi Zhao
Jiaxiang Wu
Xingkun Xu
Shouhong Ding
Shuigeng Zhou
CVBM
PICV
26
13
0
21 Aug 2023
Understanding the robustness difference between stochastic gradient
  descent and adaptive gradient methods
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
A. Ma
Yangchen Pan
Amir-massoud Farahmand
AAML
25
5
0
13 Aug 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
25
0
0
14 Jul 2023
Seeing is not Believing: An Identity Hider for Human Vision Privacy
  Protection
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
Tao Wang
Yushu Zhang
Zixuan Yang
Hua Zhang
Zhongyun Hua
PICV
CVBM
53
7
0
02 Jul 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAML
OOD
34
1
0
15 May 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of
  Deep Nets
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawé
Marianne Abémgnigni Njifon
Jonathan Heek
Yann N. Dauphin
OOD
24
4
0
06 Apr 2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image
  Super-Resolution
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
Brian B. Moser
Stanislav Frolov
Federico Raue
Sebastián M. Palacio
Andreas Dengel
42
15
0
04 Apr 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial
  Robustness
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
37
8
0
17 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
33
20
0
13 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with
  Frequency for Domain Generalization
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
Sangrok Lee
Jongseong Bae
Ha Young Kim
OOD
40
26
0
04 Mar 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Jiadi Yao
H. Luo
Xiao-Lei Zhang
AAML
32
1
0
21 Feb 2023
Linking convolutional kernel size to generalization bias in face
  analysis CNNs
Linking convolutional kernel size to generalization bias in face analysis CNNs
Hao Liang
J. O. Caro
Vikram Maheshri
Ankit B. Patel
Guha Balakrishnan
CVBM
CML
23
0
0
07 Feb 2023
Achieving Robust Generalization for Wireless Channel Estimation Neural
  Networks by Designed Training Data
Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data
Dianxin Luan
J. Thompson
OOD
11
1
0
05 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
34
2
0
31 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to
  Hierarchical VAEs
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck
Christopher Williams
D. Danks
George Deligiannidis
C. Yau
Chris Holmes
Arnaud Doucet
M. Willetts
36
8
0
19 Jan 2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Head-Free Lightweight Semantic Segmentation with Linear Transformer
B. Dong
Pichao Wang
Fan Wang
ViT
24
66
0
11 Jan 2023
NFResNet: Multi-scale and U-shaped Networks for Deblurring
Tanish Mittal
Preyansh Agrawal
Esha Pahwa
Aarya Makwana
23
1
0
12 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
36
1
0
09 Dec 2022
Fairness Increases Adversarial Vulnerability
Fairness Increases Adversarial Vulnerability
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
34
6
0
21 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
33
1
0
03 Nov 2022
Understanding CNN Fragility When Learning With Imbalanced Data
Understanding CNN Fragility When Learning With Imbalanced Data
Damien Dablain
Kristen N. Jacobson
C. Bellinger
Mark Roberts
Nitesh Chawla
34
39
0
17 Oct 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
35
6
0
20 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds
  Representation under Adversarial Attack
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
Junxuan Huang
Yatong An
Lu Cheng
Bai Chen
Junsong Yuan
Chunming Qiao
3DPC
32
1
0
14 Sep 2022
Improving Robustness to Out-of-Distribution Data by Frequency-based
  Augmentation
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
Koki Mukai
Soichiro Kumano
T. Yamasaki
OODD
OOD
17
10
0
06 Sep 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral
  Perspective
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective
Gihyun Kim
Juyeop Kim
Jong-Seok Lee
AAML
ViT
24
4
0
20 Aug 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
32
155
0
12 Jul 2022
Wavelet Regularization Benefits Adversarial Training
Wavelet Regularization Benefits Adversarial Training
Jun Yan
Huilin Yin
Xiaoyang Deng
Zi-qin Zhao
Wancheng Ge
Hao Zhang
Gerhard Rigoll
AAML
19
2
0
08 Jun 2022
Inception Transformer
Inception Transformer
Chenyang Si
Weihao Yu
Pan Zhou
Yichen Zhou
Xinchao Wang
Shuicheng Yan
ViT
37
187
0
25 May 2022
Learning Convolutional Neural Networks in the Frequency Domain
Learning Convolutional Neural Networks in the Frequency Domain
H. Pan
Yixin Chen
Xin-Yi Niu
Wenbo Zhou
Dongsheng Li
OOD
25
9
0
14 Apr 2022
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