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Effects of Degradations on Deep Neural Network Architectures

Effects of Degradations on Deep Neural Network Architectures

26 July 2018
Prasun Roy
Subhankar Ghosh
Saumik Bhattacharya
Umapada Pal
ArXivPDFHTML

Papers citing "Effects of Degradations on Deep Neural Network Architectures"

17 / 17 papers shown
Title
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
123
0
0
09 Mar 2025
Towards Federated Domain Unlearning: Verification Methodologies and
  Challenges
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
43
1
0
05 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
51
16
0
26 May 2024
How much data do I need? A case study on medical data
How much data do I need? A case study on medical data
Ayse Betul Cengiz
A. Mcgough
24
2
0
26 Nov 2023
Joint Task and Data Oriented Semantic Communications: A Deep Separate
  Source-channel Coding Scheme
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme
Jianhao Huang
Dongxu Li
Chenyu Huang
Xiaoqi Qin
Wei Zhang
33
31
0
27 Feb 2023
Impact of Video Compression on the Performance of Object Detection
  Systems for Surveillance Applications
Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications
Michael O'Byrne
Anil Vibhoothi
M. Sugrue
Kokaram
33
4
0
10 Nov 2022
Integrative conformal p-values for powerful out-of-distribution testing
  with labeled outliers
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
Zi-Chen Liang
Matteo Sesia
Wenguang Sun
OODD
33
20
0
23 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
67
71
0
19 Jul 2022
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
30
51
0
12 Jul 2021
A Structured Analysis of the Video Degradation Effects on the
  Performance of a Machine Learning-enabled Pedestrian Detector
A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
C. Berger
16
1
0
30 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership
  Verification and Applicability Authorization
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
19
45
0
13 Jun 2021
Fidelity Estimation Improves Noisy-Image Classification With Pretrained
  Networks
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
Xiaoyu Lin
Deblina Bhattacharjee
Majed El Helou
Sabine Süsstrunk
23
6
0
01 Jun 2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional
  Neural Networks
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Junyu Chen
Ye Li
L. Luna
H. Chung
S. Rowe
Yong Du
L. Solnes
Eric C. Frey
18
19
0
17 Apr 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with
  embedded data cleansing functionality
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
Francesco Ponzio
Enrico Macii
E. Ficarra
S. D. Cataldo
30
4
0
24 Mar 2021
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
13
154
0
16 Jul 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
37
424
0
20 Jan 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
368
5,849
0
08 Jul 2016
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