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Understanding How Image Quality Affects Deep Neural Networks

Understanding How Image Quality Affects Deep Neural Networks

14 April 2016
Samuel F. Dodge
Lina Karam
    VLM
ArXivPDFHTML

Papers citing "Understanding How Image Quality Affects Deep Neural Networks"

19 / 69 papers shown
Title
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
19
436
0
17 Jul 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
12
8
0
08 Apr 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel
Jinsol Lee
G. Al-Regib
23
12
0
18 Feb 2019
One-Shot Item Search with Multimodal Data
One-Shot Item Search with Multimodal Data
Jonghwa Yim
Junghun Kim
D. Shin
18
3
0
27 Nov 2018
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
15
30
0
14 Nov 2018
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel
Jinsol Lee
G. Al-Regib
16
42
0
18 Oct 2018
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on
  Convolutional Neural Networks
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks
Q. D. Cao
Youngjun Choe
11
21
0
04 Jul 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
33
172
0
30 Mar 2018
Deep feature compression for collaborative object detection
Deep feature compression for collaborative object detection
Hyomin Choi
Ivan V. Bajić
13
138
0
12 Feb 2018
Quality Classified Image Analysis with Application to Face Detection and
  Recognition
Quality Classified Image Analysis with Application to Face Detection and Recognition
Fei Yang
Qian Zhang
Miaohui Wang
Guoping Qiu
CVBM
16
13
0
19 Jan 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
32
66
0
20 Oct 2017
Wide and deep volumetric residual networks for volumetric image
  classification
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind
A. Costa
Marcus A. Badgeley
Samuel K. Cho
Eric Oermann
3DPC
MedIm
41
15
0
18 Sep 2017
A Comparison of Audio Signal Preprocessing Methods for Deep Neural
  Networks on Music Tagging
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
Keunwoo Choi
Gyorgy Fazekas
Kyunghyun Cho
Mark Sandler
20
63
0
06 Sep 2017
Image Quality Assessment Guided Deep Neural Networks Training
Image Quality Assessment Guided Deep Neural Networks Training
Zhuo Chen
Weisi Lin
Shiqi Wang
Long Xu
Leida Li
25
9
0
13 Aug 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
19
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
21
51
0
23 Jan 2017
On Classification of Distorted Images with Deep Convolutional Neural
  Networks
On Classification of Distorted Images with Deep Convolutional Neural Networks
Yiren Zhou
Sibo Song
Ngai-man Cheung
19
115
0
08 Jan 2017
An empirical study on the effects of different types of noise in image
  classification tasks
An empirical study on the effects of different types of noise in image classification tasks
G. B. P. D. Costa
Welinton A. Contato
T. S. Nazaré
J. B. Neto
M. Ponti
16
39
0
09 Sep 2016
How Image Degradations Affect Deep CNN-based Face Recognition?
How Image Degradations Affect Deep CNN-based Face Recognition?
Samil Karahan
M. Yildirim
K. Kirtaç
F. Rende
Gultekin Butun
H. K. Ekenel
CVBM
6
124
0
18 Aug 2016
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