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What Else Can Fool Deep Learning? Addressing Color Constancy Errors on
  Deep Neural Network Performance

What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

15 December 2019
Mahmoud Afifi
M. Brown
    AAML
ArXivPDFHTML

Papers citing "What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance"

13 / 13 papers shown
Title
Analysis of Classifier Training on Synthetic Data for Cross-Domain
  Datasets
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
Andoni Cortés
Clemente Rodríguez
G. Velez
Javier Barandiarán
Marcos Nieto
48
13
0
30 Oct 2024
Efficient Visual Computing with Camera RAW Snapshots
Efficient Visual Computing with Camera RAW Snapshots
Zhihao Li
Ming Lu
Xu Zhang
Xin Feng
Ulugbek S. Kamilov
Zhan Ma
36
12
0
15 Dec 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
21
1
0
30 Jan 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
19
75
0
01 Dec 2021
Zero-Shot Day-Night Domain Adaptation with a Physics Prior
Zero-Shot Day-Night Domain Adaptation with a Physics Prior
A. Lengyel
Sourav Garg
Michael Milford
Jan van Gemert
60
57
0
11 Aug 2021
Deepfake Forensics via An Adversarial Game
Deepfake Forensics via An Adversarial Game
Zhi Wang
Yiwen Guo
W. Zuo
AAML
21
34
0
25 Mar 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
26
18
0
10 Dec 2020
Rethinking Generalization in American Sign Language Prediction for Edge
  Devices with Extremely Low Memory Footprint
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint
A. Paul
P. Mohan
Stuti Sehgal
16
17
0
27 Nov 2020
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color
  Histograms
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
Mahmoud Afifi
Marcus A. Brubaker
M. S. Brown
GAN
35
105
0
23 Nov 2020
Towards Large yet Imperceptible Adversarial Image Perturbations with
  Perceptual Color Distance
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
18
142
0
06 Nov 2019
INTEL-TAU: A Color Constancy Dataset
INTEL-TAU: A Color Constancy Dataset
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Jarno Nikkanen
Moncef Gabbouj
20
38
0
23 Oct 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
451
15,652
0
02 Nov 2015
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