ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.02498
  4. Cited By
A Study and Comparison of Human and Deep Learning Recognition
  Performance Under Visual Distortions

A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions

6 May 2017
Samuel F. Dodge
Lina Karam
    3DH
ArXivPDFHTML

Papers citing "A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions"

50 / 65 papers shown
Title
Disruptive Transformation of Artworks in Master-Disciple Relationships: The Case of Ukiyo-e Artworks
Disruptive Transformation of Artworks in Master-Disciple Relationships: The Case of Ukiyo-e Artworks
Honna Shinichi
Akira Matsui
34
0
0
13 May 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
105
20
0
17 Jan 2025
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
40
3
0
18 Oct 2024
Classification-Denoising Networks
Classification-Denoising Networks
Louis Thiry
Florentin Guth
36
0
0
04 Oct 2024
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Ashutosh Kumar
35
0
0
02 Oct 2024
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
Enhancing the machine vision performance with multi-spectral light
  sources
Enhancing the machine vision performance with multi-spectral light sources
Feng Zhang
Rui Bao
Congqi Dai
Wanlu Zhang
Shu Liu
R. Guo
15
0
0
20 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
36
2
0
15 Oct 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad Ahmed Shah
Bhiksha Raj
AAML
38
4
0
01 Aug 2023
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
Ketan Kotwal
S´ebastien Marcel
27
4
0
29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
44
1
0
29 Jun 2023
Noise robust neural network architecture
Noise robust neural network architecture
Yunuo Xiong
Hongwei Xiong
27
1
0
16 May 2023
Self-attention in Vision Transformers Performs Perceptual Grouping, Not
  Attention
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention
Paria Mehrani
John K. Tsotsos
25
24
0
02 Mar 2023
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
36
5
0
04 Nov 2022
Reconstruction-guided attention improves the robustness and shape
  processing of neural networks
Reconstruction-guided attention improves the robustness and shape processing of neural networks
Seoyoung Ahn
Hossein Adeli
G. Zelinsky
DiffM
AAML
33
1
0
27 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
29
38
0
18 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
Test-time Batch Normalization
Test-time Batch Normalization
Tao Yang
Shenglong Zhou
Yuwang Wang
Yan Lu
Nanning Zheng
OOD
57
9
0
20 May 2022
A Survey on Infrared Image and Video Sets
A Survey on Infrared Image and Video Sets
Kevser Irem Danaci
Erdem Akagündüz
41
18
0
16 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
53
107
0
02 Mar 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
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
28
110
0
16 Feb 2022
What can we learn from misclassified ImageNet images?
What can we learn from misclassified ImageNet images?
Shixian Wen
A. Rios
Kiran Lekkala
Laurent Itti
30
7
0
20 Jan 2022
DeepAdversaries: Examining the Robustness of Deep Learning Models for
  Galaxy Morphology Classification
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
A. Ćiprijanović
Diana Kafkes
Gregory F. Snyder
F. Sánchez
G. Perdue
K. Pedro
Brian D. Nord
Sandeep Madireddy
Stefan M. Wild
AAML
42
15
0
28 Dec 2021
Wiggling Weights to Improve the Robustness of Classifiers
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
30
0
0
18 Nov 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
42
9
0
14 Oct 2021
Use of Deterministic Transforms to Design Weight Matrices of a Neural
  Network
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network
Pol Grau Jurado
Xinyue Liang
Alireza M. Javid
S. Chatterjee
26
0
0
06 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring
  and Activation Function
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
54
13
0
03 Oct 2021
Built-in Elastic Transformations for Improved Robustness
Built-in Elastic Transformations for Improved Robustness
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
AAML
22
1
0
20 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
53
222
0
14 Jun 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
81
30
0
27 Apr 2021
Robustness Evaluation of Stacked Generative Adversarial Networks using
  Metamorphic Testing
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
Hyejin Park
Taaha Waseem
Wen Qi Teo
Y. H. Low
Mei Kuan Lim
Chun Yong Chong
EGVM
19
5
0
04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
203
27,929
0
26 Feb 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
On Interaction Between Augmentations and Corruptions in Natural
  Corruption Robustness
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun
A. Kirillov
Saining Xie
20
90
0
22 Feb 2021
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor
  Attacks for Data Collection Scenarios
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios
Hassan Ali
Surya Nepal
S. Kanhere
S. Jha
AAML
27
12
0
14 Dec 2020
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network
  Training
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training
Federico Zocco
Seán F. McLoone
ODL
26
4
0
14 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
106
1,386
0
14 Dec 2020
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
A ReLU Dense Layer to Improve the Performance of Neural Networks
A ReLU Dense Layer to Improve the Performance of Neural Networks
Alireza M. Javid
Sandipan Das
Mikael Skoglund
S. Chatterjee
26
32
0
22 Oct 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
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
30
88
0
09 Oct 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
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
23
10
0
18 Jul 2020
Seeing eye-to-eye? A comparison of object recognition performance in
  humans and deep convolutional neural networks under image manipulation
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation
Leonard E. van Dyck
W. Gruber
27
3
0
13 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
133
1,685
0
29 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric
  learning
Calibrated neighborhood aware confidence measure for deep metric learning
Maryna Karpusha
Sunghee Yun
István Fehérvári
UQCV
FedML
27
2
0
08 Jun 2020
A Committee of Convolutional Neural Networks for Image Classication in
  the Concurrent Presence of Feature and Label Noise
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise
Stanislaw Ka'zmierczak
Jacek Mańdziuk
6
1
0
19 Apr 2020
Towards Robust Classification with Image Quality Assessment
Towards Robust Classification with Image Quality Assessment
Yeli Feng
Yiyu Cai
19
0
0
14 Apr 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space
  Models
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic
Damian Campo
Mohamad Baydoun
P. Marín
David Martín
L. Marcenaro
C. Regazzoni
DRL
27
13
0
17 Mar 2020
12
Next