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Examining the Impact of Blur on Recognition by Convolutional Networks

Examining the Impact of Blur on Recognition by Convolutional Networks

17 November 2016
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
ArXivPDFHTML

Papers citing "Examining the Impact of Blur on Recognition by Convolutional Networks"

42 / 42 papers shown
Title
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Patrick Müller
Alexander Braun
M. Keuper
59
0
0
25 Apr 2025
Towards Robust Training Datasets for Machine Learning with Ontologies: A
  Case Study for Emergency Road Vehicle Detection
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
Lynn Vonderhaar
Timothy Elvira
T. Procko
Omar Ochoa
44
0
0
21 Jun 2024
Retrieval Robust to Object Motion Blur
Retrieval Robust to Object Motion Blur
Rong Zou
Marc Pollefeys
D. Rozumnyi
41
0
0
27 Apr 2024
ColMix -- A Simple Data Augmentation Framework to Improve Object
  Detector Performance and Robustness in Aerial Images
ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images
Cuong Ly
Grayson Jorgenson
D. R. D. Jesus
Henry Kvinge
A. Attarian
Y. Watkins
19
1
0
22 May 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
Patch-wise Features for Blur Image Classification
Patch-wise Features for Blur Image Classification
Sri Charan Kattamuru
Kshitij Agrawal
S. Adhikari
Abhishek Bose
Hemant Misra
34
1
0
06 Apr 2023
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy
  Preserving Camera
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera
Hannah Kirkland
S. Koppal
29
1
0
13 Mar 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
23
3
0
11 Feb 2023
Blur Invariants for Image Recognition
Blur Invariants for Image Recognition
J. Flusser
Matej Lébl
Matteo Pedone
F. Šroubek
J. Kostková
16
10
0
18 Jan 2023
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
40
21
0
09 Nov 2022
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images
Nithin Gopalakrishnan Nair
R. Yasarla
Vishal M. Patel
28
1
0
20 Sep 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
45
165
0
15 Sep 2022
Augraphy: A Data Augmentation Library for Document Images
Augraphy: A Data Augmentation Library for Document Images
Alexander Groleau
Kok Wei Chee
Stefan Larson
Samay Maini
Jonathan Boarman
43
10
0
30 Aug 2022
Does lossy image compression affect racial bias within face recognition?
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer
Matt Poyser
Noura Al Moubayed
T. Breckon
CVBM
40
4
0
16 Aug 2022
Improving Diversity with Adversarially Learned Transformations for
  Domain Generalization
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Tejas Gokhale
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
Chitta Baral
Yezhou Yang
27
28
0
15 Jun 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor
  Perturbation
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
Wei Dai
Daniel Berleant
VLM
AAML
27
8
0
02 Mar 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
30
1
0
30 Jan 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
S. Feizi
OOD
27
7
0
28 Jan 2022
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
38
22
0
02 Aug 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and
  Benchmarks
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Jiahang Wang
Sheng Jin
Wentao Liu
Weizhong Liu
Chao Qian
Ping Luo
AAML
11
56
0
13 May 2021
Joint Face Image Restoration and Frontalization for Recognition
Joint Face Image Restoration and Frontalization for Recognition
X. Tu
Jian-jun Zhao
Qiankun Liu
W. Ai
G. Guo
Zhifeng Li
Wei Liu
Jiashi Feng
CVBM
24
54
0
12 May 2021
Contrastive Reasoning in Neural Networks
Contrastive Reasoning in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
19
10
0
23 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
CVBM
34
144
0
10 Mar 2021
Improving Robustness of Learning-based Autonomous Steering Using
  Adversarial Images
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
Yu-cui Shen
L. Zheng
Manli Shu
Weizi Li
Tom Goldstein
Ming Lin
AAML
39
6
0
26 Feb 2021
Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
34
18
0
10 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined
  Augmentations Finetuning to Efficiently Improve the Robustness of CNNs
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs
Nikhil Kapoor
C. Yuan
Jonas Löhdefink
Roland S. Zimmermann
Serin Varghese
Fabian Hüger
Nico M. Schmidt
Peter Schlicht
Tim Fingscheidt
AAML
27
4
0
02 Dec 2020
Improved Handling of Motion Blur in Online Object Detection
Improved Handling of Motion Blur in Online Object Detection
Mohamed Sayed
Gabriel J. Brostow
AAML
32
23
0
29 Nov 2020
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
Learning Loss for Test-Time Augmentation
Learning Loss for Test-Time Augmentation
Ildoo Kim
Younghoon Kim
Sungwoong Kim
OOD
26
91
0
22 Oct 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling
  Adversarial Training
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
24
19
0
19 Aug 2020
Untapped Potential of Data Augmentation: A Domain Generalization
  Viewpoint
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla
Shiv Shankar
ViT
16
0
0
09 Jul 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks
Towards Understanding the Effect of Leak in Spiking Neural Networks
Sayeed Shafayet Chowdhury
Chankyu Lee
Kaushik Roy
27
56
0
15 Jun 2020
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
30
437
0
17 Jul 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
106
1,428
0
16 Jul 2019
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
39
132
0
15 May 2019
Improving Image Classification Robustness through Selective CNN-Filters
  Fine-Tuning
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning
Alessandro Bianchi
Moreno Raimondo Vendra
P. Protopapas
Marco Brambilla
17
8
0
08 Apr 2019
Distortion Robust Image Classification using Deep Convolutional Neural
  Network with Discrete Cosine Transform
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform
Md Tahmid Hossain
S. Teng
Dengsheng Zhang
Suryani Lim
Guojun Lu
23
30
0
14 Nov 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
41
172
0
30 Mar 2018
Classification Driven Dynamic Image Enhancement
Classification Driven Dynamic Image Enhancement
Vivek Sharma
Ali Diba
D. Neven
M. S. Brown
Luc Van Gool
Rainer Stiefelhagen
35
66
0
20 Oct 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
27
93
0
05 May 2017
Dirty Pixels: Towards End-to-End Image Processing and Perception
Dirty Pixels: Towards End-to-End Image Processing and Perception
Steven Diamond
Vincent Sitzmann
Frank D. Julca-Aguilar
Stephen P. Boyd
Gordon Wetzstein
Felix Heide
24
51
0
23 Jan 2017
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
50
387
0
19 Jul 2016
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